Peer-Reviewed Journals that Published Articles Using ODA software, with Underscore used to Indicate Multiple Articles

Academic Emergency Medicine

Air Traffic Control Quarterly

Allergy and Asthma Proceedings

American Journal of Orthopsychiatry

American Journal of Perinatology

American Journal of Physical Medicine & Rehabilitation

American Journal of Respiratory and Critical Care Medicine

Annals of Emergency Medicine

Annals of Internal Medicine

Annals of Operations Research

Antimicrobial Agents and Chemotherapy

Applied Psychological Measurement

Archives of Internal Medicine

Behavior Therapy

Bipolar Disorders

BMC Public Health


Cancer Medicine


Child Psychiatry & Human Development

Children and Youth Services Review

Computers and Operations Research

Criminal Justice and Behavior

Decision Sciences

Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Drug Safety

Educational and Psychological Measurement

Evaluation and the Health Professions

Infection Control and Hospital Epidemiology

International Journal of Offender Therapy and Comparative Criminology

International Journal of Psychiatry in Medicine

International Journal of Radiation Oncology * Biology * Physics

JAMA (Journal of the American Medical Association)

JAMA Dermatology

JAMA Internal Medicine

JAMA Oncology

Journal of Acquired Immune Deficiency Syndrome

Journal of Affective Disorders

Journal of Applied Social Psychology

Journal of Behavioral Medicine

Journal of Child and Adolescent Psychology

Journal of Child and Adolescent Trauma

Journal of Child and Family Studies

Journal of Clinical Child & Adolescent Psychology

Journal of Clinical and Experimental Neuropsychology

Journal of Clinical Medicine

Journal of Clinical Oncology

Journal of Consulting and Clinical Psychology

Journal of Evaluation in Clinical Practice

Journal of General Internal Medicine

Journal of Head Trauma Rehabilitation

Journal of Infection

Journal of Laboratory and Clinical Medicine

Journal of Neuropsychology

Journal of Occupational and Environmental Medicine

Journal of Occupational Medicine

Journal of Patient Safety

Journal of Pediatric Psychology

Journal of Personality Assessment

Journal of Research in Personality

Journal of Psychiatric Research

Journal of Stroke and Cerebrovascular Diseases

Journal of the American Academy of Psychiatry

Journal of the American Academy of Child & Adolescent Psychiatry

Journal of the American College of Cardiology

Journal of the International Neuropsychological Society

Journal of Psychiatric Research

Journal of Thoracic Oncology

Kidney International


Law & Human Behavior

Law & Society Review

Medical Care

New England Journal of Medicine

North American Journal of Medical Sciences

Optimal Data Analysis

Peer J

Perceptual and Motor Skills

Prevention Science

Primary Dental Care

Professional Psychology: Research and Practice

Psychology, Health, and Medicine

Psychotherapy: Theory, Research, Practice, Training

Rehabilitation Psychology

Respiratory Medicine

Schizophrenia Bulletin

Statistics in Medicine


Subtle Energies & Energy Medicine

Supportive Care in Cancer

The Clinical Neurologist

The Clinical Neuropsychologist

The Journal of Pediatrics

The Scientific World Journal

Tijdschrift voor Gerontologie en Geriatrie

Tijdschrift voor neuropsychologie

Value in Health

Victims & offenders: An International Journal of Evidence-based Research, Policy, and Practice

Articles Using ODA Software Published in Indexed, Peer-Reviewed Journals

Albuquerque, K., Giangreco, D., Morrison, C., Siddiqui, M., Sinacore, J., Potkul, R., & Roeske, J. (2011). Radiation-related predictors of hematologic toxicity after concurrent chemoradiation for cervical cancer and implications for bone marrow-sparing pelvic IMRT. International Journal of Radiation Oncology * Biology * Physics, 79, 1043-1047. [link]

Alshekhlee, A., Ranawat, N., Syed T.U., Conway D., Ahmad, S.A., & Zaiday, O.O. (2010). National Institutes of Health Stroke Scale assists in predicting the need for percutaneous endoscopic gastrostomy tube placement in acute ischemic stroke. Journal of Stroke and Cerebrovascular Diseases, 19, 347-352.

Arozullah, A.M., Gordon, H.S., Yarnold, P., Soltysik, R., Ferreira, M.R., Wolf, M.S., Molokie, R., Bhoopalam, N., & Bennett, C.L. (2008). Predictors of prostate cancer stage at presentation. Journal of General Internal Medicine, 23, 376. [link]

Arozullah, A.M., Lee, S.D., Khan, T., Kurup, S., Ryan, J., Bonner, M., Soltysik, R.C., &
Yarnold, P.R. (2006). The roles of low literacy and social support in predicting the preventability of hospital admission. Journal of General Internal Medicine, 21, 140-145. [link]

Arozullah, A.M., Parada, J., Bennett, C.L., Deloria-Knoll, M., Chmiel, J.S., Phan, L., &
Yarnold, P.R. (2003). A rapid staging system for predicting mortality from HIV-associated community-acquired pneumonia. Chest, 123, 1151-1160. [link] [pdf]

Arozullah, A.M., Yarnold, P.R., Weinstein, R.A., Nwadiaro, N., McIlraith, T.B., Chmiel,
J.S., Sipler, A.M., Chan, C., Goetz, M.B., Schwartz, D., & Bennett, C.L. (2000). A new
preadmission staging system for predicting in-patient mortality from HIV-associated
Pneumocystis carinii pneumonia in the early-HAART era. American Journal of Respiratory and Critical Care Medicine, 161, 1081-1086. [link] [pdf]

Axelrod, B.N., Fichtenberg, N.L., Millis, S.R., & Wertheimer, J.C. (2006). Detecting incomplete effort with digit span from the Wechsler Adult Intelligence Scale—Third Edition. The Clinical Neuropsychologist, 20, 513-523.

Belknap, S.M., Kuzel, T.M., Yarnold, P.R., Slimack, N., Lyons, E.A., Raisch, D.W., & Bennett, C.L. (2006). Clinical features and correlates of gemcitabine–associated lung injury: Findings from the RADAR project. Cancer, 106, 2051-2057.

Belknap, S.M., Moore, H., Lanzotti, S.A., Yarnold, P.R., Getz, M., Deitrick, D.L., Peterson, A., Akeson, J., Maurer, T., Soltysik, R.C., & Storm, J. (2008). Application of software design principles and debugging methods to an analgesia prescription reduces risk of severe injury from medical use of opioids. Clinical Pharmacology and Therapeutics, 84, 385-392. [link] [pdf]

Belmares, J., Gerding, D.N., Parada, J.P., Miskevics, S., Weaver, F., & Johnson, S. (2007). Outcome of metronidazole therapy for Clostridium difficile disease and correlation with a scoring system. Journal of Infection, 55, 495-501. [link]

Bennett, C.L., Angelotta, C., Yarnold, P.R., Richardson, P., Zonder, J.A., Raisch, D.W., & Evens, A.M. (2006). Thalidomide- and lenalidomide-associated thromboembolism among cancer patients: A systematic review from the Research on Adverse Drug Events and Reports (RADAR) project. Journal of the American Medical Association, 296, 2558-2560. [link]

Bennett, C.L., Kim, B., Zakarija, A., Bandarenko, N., Pandey, D.K., Buffie, C.G., McKoy, J.M., Tevar, A.D., Cursio, J.F., Yarnold, P.R., Kwaan, H.C., Masi, D.D., Sarode, R., Raife, T.J., Kiss, J.E., Raisch, D.W., Davidson, C., Sadler, J.E., Ortel, T.L., Zheng, X.L., Kato, S., Matsumoto, M., Uemura, M., Fujimura, Y. (2007). Two mechanistic pathways for thienopyridine-associated thrombotic thrombocytopenic purpura: A report from the Surveillance, Epidemiology, and Risk Factors for Thrombotic Thrombocytopenic Purpura (SERF-TTP) Research Group and the Research on Adverse Drug Events and Reports (RADAR) Project. Journal of American College of Cardiology, 50, 1138-1143. [link] [pdf]

Bennett, C.L., Kwaan, H.C., Zakarija, A.,Banderanko, N., Pandey, D.K., McKoy, J.M., Yarnold, P.R., Raisch, D.W., Winters, J.L., Raife, T.J., Cursio, J.F., Luu, T.H., Richey, E.A., Fisher, M.J., Ortel, T., Tallman, M.S., Zheng, X.L., Matsumoto, M., Fujimura, Y., & Moake, J.L. (2009). Ticlopidine- and clopidogrel-associated thrombotic thrombocytopenic purpura (TTP): Review of clinical, laboratory, epidemiologic, and pharmacovigilance findings (1989-2008). Kidney International, 75 (Supplement 112), S20-S24. [link] [pdf]

Bennett, C.L., Nebeker, J.R., Yarnold, P.R., Tigue, C.C., Dorr, D.A., McKoy, J.M., Edwards, B.J., Hurdle, J.F., West, D.P., Lau, D.T., Angelotta, C., Weitzman, S.A., Belknap, S.M., Djulbegovic, B., Tallman, M.S., Kuzel, T.M., Benson, A.B., Evens, A., Trifilio, S.M., Courtney, D.M., & Raisch, D.W. (2007). Evaluation of serious adverse drug reactions: A proactive pharmacovigilance program (RADAR) versus safety activities conducted by the Food and Drug Administration and pharmaceutical manufacturers. Archives of Internal Medicine, 167, 1041-1049. [link] [pdf]

Bennett, C.L., Raisch, D.W., Lyons, E.A., Nebeker, J.R., Samore, M.H., Feldman, M.D., McKoy, J.M., Carson, K.R., Kut, V., Belknap, S.M., Trifilio, S.M., Schumock, G.T., Yarnold, P.R., Davidson, C.J., Morse, R.E., Kuzel, T.M., Parada, J.P., Cournoyer, D., West, D.P., Sartor, O., & Tallman, M.S. (2005). Introducing RADAR: the Research on Adverse Drug events And Reports (RADAR) project. Journal of the American Medical Association, 293, 2131-2140. [link] [link]

Bennett, C.L., Weinberg, P.D., Rozenberg-Ben-Dror, K., Yarnold, P.R., Kwaan, H.C., & Green, D. (1998). Thrombotic thrombocytopenic purpura associated with ticlopidine: A review of 60 cases. Annals of Internal Medicine, 128, 541-544. [link]

Bobb, A., Gleason, K., Husch, M., Feinglass, J., Yarnold, P.R., & Noskin, G.A. (2004).  The epidemiology of prescribing errors: The potential impact of computerized prescriber order entry.  Archives of Internal Medicine, 164, 785-792. []

Brocklehurst, P.R., Baker, S.R., & Speight, P.M. (2010). Factors which determine the referral of potentially malignant disorders by primary care dentists. Journal of Dentistry, 38, 569-578. [link]

Brocklehurst, P.R., Baker, S.R., & Speight, P.M. (2010). Primary care clinicians and the detection and referral of potentially malignant disorders of the mouth: A summary of the current evidence. Primary Dental Care, 17, 65-71.

Bryant, F.B., & Yarnold, P.R. (1995).  Comparing five alternative factor-models of the student Jenkins Activity Survey: Separating the wheat from the chaff.  Journal of Personality Assessment, 64, 145-158. []

Bryant, F.B., Yarnold, P.R., & Grimm, L.G. (1996). Toward a measurement model of the Affect Intensity Measure: A three-factor structure. Journal of Research in Personality, 30, 223-247. [link]

Carmony, L., Yarnold, P.R., & Naeymi-Rad, F. (1998). One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute. Annals of Operations Research, 74, 223-238. [link]

Clark-Raymond A, Meresh E, Hoppensteadt D, Fareed J, Sinacore J, Halaris A (2014). Vascular endothelial growth factor: A potential diagnostic biomarker for major depression. Journal of Psychiatric Research, August 19, DOI: [

Coakley, R.M., Holmbeck, G.N., & Bryant, F.B. (2006). Constructing a prospective model of psychosocial adaptation in young adolescents with spina bifida: An application of optimal data analysis. Journal of Pediatric Psychology, 31, 1084-1099. [link] [pdf]

Cohen, R., Wiley, S., Oswald, D.P., Eakin, K.B., Best, Al.M. (1999). Applying utilization management principles to a comprehensive service system for children with emotional and behavioral disorders and their families: A feasibility study. Journal of Child and Family Studies, 8, 463-476.

Collinge, W., Kahn, J., Walton, T., Kozak, L., Bauer-Wu, S., Fletcher, K., Yarnold, P.R., & Soltysik, R.C. (2013). Touch, caring, and cancer: Randomized controlled trial of a multimedia caregiver education program. Supportive Care in Cancer, 21, 1405-1414. [link] [pdf]

Collinge, W., & Yarnold, P.R. (2001). Transformational breath work in medical illness: Clinical applications and evidence of immunoenhancement. Subtle Energies & Energy Medicine, 12, 139-156. [link] [pdf]

Collinge, W., Yarnold, P.R., & Raskin, E. (1998). Use of mind/body self-healing practice predicts positive health transition in chronic fatigue syndrome: A controlled study. Subtle Energies & Energy Medicine, 9, 171-190. [link] [pdf]

Collinge, W., Yarnold, P., & Soltysik, R. (2013). Fibromyalgia symptom reduction by online behavioral self-monitoring, longitudinal single subject analysis and automated delivery of individualized guidance. North American Journal of Medical Sciences, 5, 546-553. [link] [pdf]

Cromley, T., & Lavigne, J.V. (2008). Predictors and consequences of early gains in child psychotherapy. Psychotherapy: Theory, Research, Practice, Training, 45, 42-60. [link]

De Perio, M.A., Yarnold, P.R., Warren, J., & Noskin, G.A. (2006). Risk factors and outcomes associated with non-Enterococcus feecalis, non-Enterococcus faecium enterococcal bacteremia. Infection Control and Hospital Epidemiology, 27, 28-33. [link] [pdf]

DeArmon, J.S., & Lacher, A.R. (1997). Aggregate flow directives as a ground delay strategy: Concept analysis using discrete-event simulation. Air Traffic Control Quarterly, 4, 307-323.

Diesfeldt, H.F.A. (2011).  Du fonologische variant van primaire progressieve afasie, een gevalsstudie (The phenomenal variane of primary progressive aphasia, a single case study). Tijdschrift voor Gerontologie en Geriatrie, 42, 79-90.

Diesfeldt, H.F.A. (2009). Visuographic tests of set shifting and inhibitory control: The contribution of constructional impairments. Journal of Neuropsychology, 3, 93-105. [link]

Diesfeldt, H.F.A. (2007). Discrepanties tussen de Informantvragenlijst (IQCODE) en cognitieve tests bij deelnemers aan psychogeriatrische dagbehandeling. Tijdschrift voor Gerontologie en Geriatrie, 38, 199-209. [link]

Diesfeldt, H.F.A. (2007). Measurement of global self-esteem in dementia. Reliability and validity of Brinkman’s self-esteem scale. Tijdschrift voor Gerontologie en Geriatrie, 38, 122-133. [link]

Diesfeldt, H.F.A. (2010). Theoriegestuurde disgnostiek van spraak- en taalpathologie bij dementie (Theory-driven diagnosis of speech and language pathology in dementia-Adapted from the speech delivered at the presentation of the first Betto Deelmanprijs). Tijdschrift voor neuropsychologie, 5.

Diesfeldt, H.F.A. (2011). Lezen als venster op het taalsysteem (Read as a window on the language system). Tijdschrift voor neuropsychologie6.

Donenberg, G.R., Bryant, F.B., Emerson, E., Wilson, H.W., & Pasch, K.E. (2003). Tracing the roots of early sexual debut among adolescents in psychiatric care. Journal of the American Academy of Psychiatry, 42, 594-608. [link] [pdf]

Dunleavy, A.M., & Leon, S.C. (2011). Predictors for resolution of antisocial behavior among foster care youth receiving community-based services. Children and Youth Services Review, 33, 2347-2354. [link]

Feinglass, J., Yarnold, P.R., Martin, G.J., & McCarthy, W.J. (1998). A classification tree analysis of selection for discretionary treatment. Medical Care, 36, 740-747. [link]

Frazier, T.W., Youngstrom, E.A., Fristad, M.A., Demeter, C., Birmaher, B., Kowatch, R.A., Arnold, L.E., Axelson, D., Gill, M.K., Horwitz, S.M., & Findling, R.L. (2014). Improving clinical prediction of bipolar spectrum disorders in youth. Journal of Clinical Medicine3, 218-232. [link] [pdf]

Gisondi, M.A., Smith-Coggins, R., Harter, P.M., Soltysik, R.C., & Yarnold, P.R. (2004). Assessment of resident professionalism using high-fidelity simulation of ethical dilemmas. Academic Emergency Medicine, 11, 931-937. []

Grammer, L.C., Harris, K.E., & Yarnold, P.R. (2002). Effect of respiratory protective devices on development of antibody and occupational asthma to an acid anhydride. Chest, 121, 1317-1322. [link] [pdf]

Grammer, L.C., Shaughnessy, M.A., Hogan, M.B., Berggruen, S.M., Watkins, D.M., & Yarnold, P.R. (1995). Value of antibody level in predicting anhydride induced immunologic respiratory disease. Journal of Laboratory and Clinical Medicine, 125, 650-653. [link]

Grammer, L.C., Shaughnessy, M.A., Hogan, M.B., Lowenthal, M., Yarnold, P.R., Watkins, D.M., & Berggruen, S.M. (1995). Study of employees with anhydride-induced respiratory disease after removal from exposure. Journal of Occupational and Environmental Medicine, 37, 820-825. [link]

Grammer, L.C., Shaughnessy, M.A., Kenamore, B.D., & Yarnold, P.R. (1999). A clinical and immunologic study to assess risk of TMA-induced lung disease as related to exposure. Journal of Occupational and Environmental Medicine, 41, 1048-1051. [link]

Grammer, L.C., Shaughnessy, M.A., Lowenthal, M., & Yarnold, P.R. (1994). Risk factors for immunologically mediated respiratory disease from hexahydrophthalic anhydride. Journal of Occupational Medicine, 36, 642-646. [link]

Grammer, L.C., Shaugnnessy, M.A., & Yarnold, P.R. (1996). Risk factors for immunologically mediated disease in workers with respiratory symptoms when exposed to hexahydrophthalic anhydride. Journal of Laboratory and Clinical Medicine, 127, 443-447.

Grammer, L.C., Zeiss, C.R., Yarnold, P.R., & Shaughnessy, M.A. (2002). Human leucocyte antigens (HLA) and trimellitic anhydride (TMA) immunologic lung disease. Respiratory Medicine, 18, 473-477. [link] [pdf]

Green, D., Sullivan, S., Simpson, J., Soltysik, R.C., & Yarnold, P.R. (2005). Evolving risk for thromboembolism in spinal cord injury (SPIRATE study). American Journal of Physical Medicine & Rehabilitation, 84, 420-422. [link]

Green, D., Hartwig, D., Chen, D., Soltysik, R.C., & Yarnold, P.R. (2003). Spinal cord injury risk assessment for thromboembolism (SPIRATE Study). American Journal of Physical Medicine and Rehabilitation, 12, 950-956. [link]

Greenleaf, R.G., Flexon, J.L., Lurigio, A.J., & Snowden, J.A. (2010). Predicting injuries of women in episodes of intimate partner violence: Individual and composite risk factors. Victims & offenders: An International Journal of Evidence-based Research, Policy, and Practice, 5, 101-119. [link]

Grobman, W.A., Terkildsen, M.F., Soltysik, R.C., & Yarnold, P.R. (2008). Predicting outcome after emergent cerclage using classification tree analysis. American Journal of Perinatology, 25, 443-448. [link]

Han, S.D., Suzuki, H., Drake, A.I., Jak, A.J., Houston, W.S., & Bondi, M.W. (2009). Clinical, cognitive, and genetic predictors of change in job status following traumatic brain injury in a military population. Journal of Head Trauma Rehabilitation, 24, 57-64. [link] [pdf]

Han, S.D., Suzuki, H., Jak, A.J., Chang, Y.L., Salmon, D.P., & Bondi, M.W. (2010). Hierarchical cognitive and psychosocial predictors of amnestic mild cognitive impairment. Journal of the International Neuropsychological Society, 16, 721-729. [link] [pdf]

Harvey, R.L., Roth, E.J., Yarnold, P.R., Durham, J.R., & Green, D. (1996). Deep vein thrombosis in stroke: The use of plasma D-dimer level as a screening test in the rehabilitation setting. Stroke, 27, 1516-1520. Abstracted in American College of Physicians Journal Club, 1997, 126, 43. [link]

Herrold, A.A., Pape, T.L.B., Guernon, A., Mallinson, T., Collins, E., & Jordan, N. (2014). Prescribing multiple neurostimulatns during rehabilitation for severe brain injury. The Scientific World Journal, Article ID 964578, 1-7. DOI: 10.1155/2014/964578.

Hill RM, Pettit JW, Lewinson PM, Seeley JR, Klein DN (2014). Escalation to major depressive disorder among adolescents with subthreshold depressive symptoms: Evidence of distinct subgroups at risk. Journal of Affective Disorders, 158, 133-138.

Jones, A., & Ingram, M.V. (2011). A comparison of selected MMPI-2 and MMPI-2-RF validity scales in assessing effort on cognitive tests in a military sample. The Clinical Neurologist, 7, 1207-1227. [link]

Kabalin, C.S., Yarnold, P.R., & Grammer, L.G. (1995).  Low complication rate of corticosteroid-treated asthmatics undergoing surgical procedures.  Archives of Internal Medicine, 155, 1379-1384. []

Kim, B., Lyons, T.M., Parada, J.P., Uphold, C.R., Yarnold, P.R., Hounshell, J.B., Sipler, A.M., Goetz, M.B., DeHovitz, J.A., Weinstein, R.A., Campo, R.E., & Bennett, C.L. (2001). HIV-related Pneumocystis carinii pneumonia in older patients hospitalized in the early HAART era. Journal of General Internal Medicine, 16, 583-589. [link] [pdf]

Kanter, A.S., Spencer, D.C., Steinberg, M.H., Soltysik, R.C., Yarnold, P.R., & Graham, N.M. (1999). Supplemental vitamin B and progression to AIDS and death in black South African patients infected with HIV. Journal of Acquired Immune Deficiency Syndromes, 21, 252-253. [link]

Kiguradze. T., Temps, W.H., Yarnold, P.R., Cashy, J., Brannigan, R.E., Nardone, B., Micali, G., West, D.P., & Belknap, S.M. (2017). Persistent erectile dysfunction in men exposed to the 5α-reductase inhibitors, finasteride, or dutasteride. PeerJ, 5: e3020

Kucera, C.M., Greenberger, P.A., Yarnold, P.R., Choy, A.C., & Levenson, T. (1999). An attempted prospective testing of an asthma severity index and a quality of life survey for 1 year in ambulatory patients with asthma. Allergy and Asthma Proceedings, 20, 29-38. [link]

Kyriacou,, D.M., Yarnold, P.R., Soltysik, R.C., Wunderink, R.G., Schmitt, B.P., Parada, J.P., & Adams, J.G. (2008). Derivation of a triage algorithm for chest radiography of community-acquired pneumonia in the emergency department. Academic Emergency Medicine, 15, 40-44. [link] [pdf]

Kyriacou, D.N., Yarnold, P.R., Stein, A.C., Schmitt, B.P., Soltysik, R.C., Nelson, R.R., Frerichs, R.R., Noskin, G.A., Belknap, S.B., & Bennett, C.L. (2007). Discriminating inhalational anthrax from community-acquired pneumonia using chest radiograph findings and a clinical algorithm. Chest, 131, 489-495. [link] [pdf]

Lavigne JV, Bryant FB, Hopkins J, Gouze (2017). Age 4 predictors of oppositional defiant disorder in early grammar school. Journal of Clinical Child & Adolescent Psychology. DOI: 10.1080/15374416.2017.1280806

Lavigne JV, Dahl KP, Gouze KR, LeBailly SA, Hopkins J (2015). Multi-Domain Predictors of Oppositional Defiant Disorder Symptoms in Preschool Children: Cross-Informant Differences. Child Psychiatry & Human Development, 46, 308-319.

Lavigne, J.V., LeBailly, S.A., Gouze, K.R., Binns, H.J., Keller, J., & Pate, L. (2010). Predictors and correlates of completing behavioral parent training for the treatment of oppositional defiant disorder in pediatric primary care. Behavior Therapy, 41, 198-211. [link] [pdf]

Layden, B.T., Minadeo, N., Suhy, J., Abukhdeir, A.M., Metreger, T., Foley, K., Borge, G., Crayton, J.W., Bryant, F.B., & Mota de Freitas, D. (2004). Biochemical and psychiatric predictors of Li+ response and toxicity in Li+-treated bipolar patients. Bipolar Disorders, 6, 53-61. [link]

Leon, S.C., et al. (2016). Emergency shelter care utilization in child welfare: Who goes to shelter care? How long do they stay? American Journal of Orthopsychiatry, 86, 49-60.

Levenson, T., Grammer, L.C., Yarnold, P.R., & Patterson, R.P. (1997).  Cost-effective management of malignant potentially fatal asthma.  Allergy and Asthma Proceedings, 18, 73-78. []

Linden, A., & Yarnold, P.R. (2016). Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments. Journal of Evaluation in Clinical Practice, 6, 875-885.

Linden, A., & Yarnold, P.R. (2016). Combining machine learning and matching techniques to improve causal inference in program evaluation. Journal of Evaluation in Clinical Practice, 6, 868-874.

Linden, A., Yarnold, P.R., & Nallamothu, B.K. (2016). Using machine learning to model dose-response relationships. Journal of Evaluation in Clinical Practice, 6, 860-867.

Linden, A., & Yarnold, P.R. (2016). Using machine learning to identify structural breaks in single-group interrupted time series designs. Journal of Evaluation in Clinical Practice, 6, 855-859.

Linden, A., & Yarnold, P.R. (2016). Using machine learning to assess covariate balance in matching studies. Journal of Evaluation in Clinical Practice, 6, 848-854.

Linden, A., & Yarnold, P.R. (2016). Using data mining techniques to characterize participation in observational studies. Journal of Evaluation in Clinical Practice, 6, 839-847.

Lyons, A.M., Leon, S.C., Zaddach, C., Luboyeski, E.J., & Richards, M. (2009). Predictors of Clinically Significant Sexual Concerns in a Child Welfare Population. Journal of Child and Adolescent Trauma, 2, 28-45. [link]

Lyons, J.S. (1997). The evolving role of outcomes in managed health care. Journal of Child and Family Studies, 6, 1-8.

McKoy, J.M., Bennett, C.L., Scheetz, M.H., Differding, V., Scarsi, K.K., Yarnold, P.R., Sutton, S., Chandler, K., Palella, F., Johnson, S., Obadina, E., Raisch, D.W., Parada, J.P. (2009). Hepatotoxicity associated with long-course versus short-course nevirapine use as HIV-prophylaxis among non-HIV infected individuals, HIV-infected pregnant women and their offspring: An analysis from the Research on Adverse Drug events And Reports (RADAR) project. Drug Safety, 32, 147-158. [link] [pdf]

Martin J, Benjamin E, Craver C, Kroch E, Nelson E, Bankowitz R (2014). Measuring adverse events in hospitalized patients: An administrative method for measuring harm. Journal of Patient Safety, April 8, doi: 10.1097/PTS.0000000000000070

Millis, S.R., Ross, S.R., & Ricker, J.H. (1998). Detection of incomplete effort on the Wechsler Adult Intelligence Scale-Revised: A cross-validation. Journal of Clinical and Experimental Neuropsychology, 20, 167-173.

Moran, J.V., Conley, D.B., Grammer, L.C., Haines, G.K., Kern, R.C., Yarnold, P.R., Tripathi, A., Harris, K.E., & Ditto, A.M. (2003).  Specific inflammatory cell types and disease severity as predictors of postsurgical outcomes in patients with chronic sinusitis.  Allergy and Asthma Proceedings, 24, 431-436. []

Mueser, K.T., Yarnold, P.R., Rosenberg, S.D., Drake, R.E., Swett, C., Miles, K.M., & Hill, D. (2000). Substance use disorder in hospitalized severely mentally ill psychiatric patients: Prevalence, correlates, and subgroups. Schizophrenia Bulletin, 26, 179-193. [link] [pdf]

Nebeker, J.R., Yarnold, P.R., Soltysik, R.C., Sauer, B.C., Sims, S.A., Samore, M.H., Rupper, R.W., Swanson, K.M., Savitz, L.A., Shinogle, J., & Xu, W. (2007). Developing indicators of inpatient adverse drug events through non-linear analysis using administrative data. Medical Care, 45, S81-S88. [link] [pdf]

Noxon, V., et al. (2016). The benefit of a “Light Touch” in identifying melanoma in Natalizumab treated patients: A Southern Network On Adverse Reactions (Sonar) analysis based On The Tysabri Outreach Commitment To Health Registry (Touch). Value in Health, 19, A134-A135.

Oguoma, V.M., et al. (2016). Maximum accuracy obesity indices for screening metabolic syndrome in Nigeria: A consolidated analysis of four cross-sectional studies. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 10, 121-127.

Oguoma, V.M., et al. (in press, 2016). Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus. BMC Public Health.

Ostrander, R.,Weinfurt, K.P., Yarnold, P.R., & August, G. (1998). Diagnosing attention deficit disorders using the BASC and the CBCL: Test and construct validity analyses using optimal discriminant classification trees. Journal of Consulting and Clinical Psychology, 66, 660-672. [link]

Pachman, L.M., Abbott, K., Sinacore, J.M., Amoruso, L., Dyer, A., Lipton, R., Ilowite, N., Hom, C., Cawkwell, G., White, A., Rivas-Chacon, R., Kimura, Y., Ray, L., & Ramsey-Goldman, R. (2006). Duration of illness is an important variable for untreated children with juvenile dermatomyositis. The Journal of Pediatrics, 148, 247-253. [link]

Pape, T.L.B., Guernon, A., Lundgren, S., Patil, V., Herrold, A.A., Smith, B., Blahnik, M., Picon, L.M., Harton, B., Peterson, M., Mallinson, T., & Hoffman, M. (2013). Predicting levels of independence with expressing needs and ideas 1 year after severe brain injury. Rehabilitation Psychology, 58, 253-262. [link]

Rhode, P., Stice, E., & Gau, J.M. (2012). Effects of three depression prevention interventions on risk for depressive disorder onset in the context of depression risk factors. Prevention Science, 13, 584-593. [link]

Rupert, P.A., Miller, A.O., Tuminello-Hartman, E.R., & Bryant, F.B. (2012). Predictors of career satisfaction among practicing psychologists. Professional Psychology: Research and Practice, 43, 495-502. [link]

Sieracki, J.H., Fuller, A.K., Leon, S.C., Jhe Bai, G., & Bryant, F.B. (2015). The role of race, socioeconomic status, and System of Care services in placement decision-making, Children and Youth Services Review, 50, 3-11.

Smart, C.M., Nelson, N.W., Sweet, J.J., Bryant, F.B., Berry, D.T.R., Granacher, R.P., & Heilbronner, R.L. (2008). Use of MMPI-2 to predict cognitive effort: A hierarchically optimal classification tree analysis. Journal of the International Neuropsychological Society, 14, 842-852. [link] [pdf]

Snowden, J., Leon, S., & Sieracki, J. (2008). Predictors of children in foster care being adopted: A classification tree analysis. Children and Youth Services Review, 30, 1318-1327. [link]

Snowden, J.A., Leon, S.C., Bryant, F.B., & Lyons, J.S. (2007). Evaluating psychiatric hospital admission decisions for children in foster care: An optimal classification tree analysis. Journal of Child and Adolescent Psychology, 36, 8-18. [link]

Soltysik, R. C., & Yarnold, P. R. (1998). Unit-weight MultiODA: Maximum accuracy discriminant analysis with unit-valued attribute coefficients. Applied Psychological Measurement, 22, 393. [link]

Soltysik, R.C., & Yarnold, P.R. (1994). Univariable optimal discriminant analysis: One-tailed hypotheses. Educational and Psychological Measurement, 54, 646-653. [link] [pdf]

Soltysik, R.C., & Yarnold, P.R. (1994). The Warmack-Gonzalez algorithm for linear two-category multivariable optimal discriminant analysis. Computers and Operations Research, 21, 735-745. [link]

Stalans, L.J., & Finn, M.A. (1995). How novice and experienced officers interpret wife assaults: Normative and efficiency frames. Law & Society Review, 29, 301-335.

Stalans, L.J., Hacker, R., & Talbot, M.E. (2010). Comparing nonviolent, other-violent, and domestic batterer sex offenders: Predictive accuracy of risk assessments on sexual recidivism. Criminal Justice and Behavior, 37, 613-628. [link] [pdf]

Stalans, L.J., & Seng, M. (2006). Identifying subgroups at high risk of dropping out of domestic batterer treatment: The buffering effects of a high school education. International Journal of Offender Therapy and Comparative Criminology, 10, 1-19. [link]

Stalans, L.J., Yarnold, P.R., Seng, M., Olson, D.E., & Repp, M. (2004). Identifying three types of violent offenders and predicting violent recidivism while on probation: A classification tree analysis. Law & Human Behavior, 28, 53-271. [link]

Steadman, E., Raisch, D.W., Bennett, C.L., Esterly, J.S., Becker, T., Postelnick, M., McKoy, J.M., Trifilio, S., Yarnold, P.R., & Scheetz, M.H. (2010). Evaluation of a potential clinical interaction between ceftriaxone and calcium. Antimicrobial Agents and Chemotherapy, 54, 1534-1540.

Stoner, A.M., Leon, S.C., & Fuller, A.K. (2013). Predictors of reduction in symptoms of depression for children and adolescents in foster care. Journal of Child and Family Studies, 22, DOI 10.1007/s10826-013-9889-9.

Taft, C.T., Pless, A.P., Stalans, L.J. Koenen, K.C., King, L.A., & King, D.W. (2005). Risk factors for partner violence among a national sample of combat veterans. Journal of Consulting and Clinical Psychology, 73, 151-159. [link]

Tanabe, P., Gimbel, R., Yarnold, P.R., Kyriacou, D.N., & Adams, J.G. (2004).  Reliability and validity of scores on the Emergency Severity Index Version 3.  Academic Emergency Medicine11, 59-65. []

Thompson, D.A., & Yarnold, P.R. (1995).  Relating patient satisfaction to waiting time perceptions and expectations: The Disconfirmation Paradigm.  Academic Emergency Medicine2, 1057-1062. []

Thompson, D.A., Yarnold, P.R., Adams, S.L., & Spacone, A.B. (1996). How accurate are patient’s waiting time perceptions? Annals of Emergency Medicine, 28, 652-656. [link]

Thompson, D.A., Yarnold, P.R., Williams, D.R., & Adams, S.L. (1996). The effects of actual waiting time, perceived waiting time, information delivery and expressive quality on patient satisfaction in the emergency department. Annals of Emergency Medicine, 28, 657-665. [link]

Trenery, A., Kessler, S., Eleasa, V.S., Lebby, A., Bennett, C.L., Yarnold, P.R., Ray, P., Raisch, D.W., Rao, G., Georgantopoulos, P., Norris, L., Boyle, S., Byrne, A., Bialkowski, M., & Sartor, O. (2013). Conflicts of interest in pharmaceutical sponsored research on erythropoietin receptors in cancer: An updated analysis. Blood, 21, 2938.

Trifilio, S.M., Yarnold, P.R., Scheetz, M.H., Pi, J., Pennick, G., & Mehta, J. (2009).  Serial plasma voriconazole concentrations after allogeneic hematopoietic stem cell transplantation.  Antimicrobial Agents and Chemotherapy, 53, 1793-1796.  []

Van Lancker, J.A., Yarnold, P.R., Ditto, A.M., Tripathi, A., Conley, D.B., Kern, R.C., Harris, K.E., & Grammer, L.C. (2005). Aeroallergen hypersensitivity: Comparing patients with nasal polyps to those with allergic rhinitis. Allergy and Asthma Proceedings, 26, 109-112. [link]

Weinfurt, K.P., Bryant, F.B., & Yarnold, P.R. (1994). The factor structure of the Affect Intensity Measure: In search of a measurement model. Journal of Research in Personality, 28, 314-331. [link]

Weinfurt, K.P., & Bush, P.J. (1995). Peer assessment of early adolescents solicited to participate in drug trafficking: A longitudinal model. Journal of Applied Social Psychology, 25, 2141-2157.

Wolf, M.S., Heckinger, E.A., Arozullah, A., Costello, S.R., Yarnold, P.R., Soltysik, R.C., & Bennett, C.L. (2004). Identifying persons with poor health literacy in 7 seconds: An important adjunct to improving cancer screening and treatment. Journal of Clinical Oncology, 22(14S), 6007.

Wyte, C.D., Adams, S.L., Cabel, J.A., Pearlman, K., Yarnold, P.R., Morkin, M., Hott, K.A., & Mathews, J.A. (1996). Prospective evaluation of emergency medicine instruction for rotating first-postgraduate-year residents. Academic Emergency Medicine, 3, 72-76. [link]

Yarnold, P.R. (1996). Characterizing and circumventing Simpson’s paradox for ordered bivariate data. Educational and Psychological Measurement, 56, 430-442. [link]

Yarnold, P.R. (1996). Discriminating geriatric and non-geriatric patients using functional status information: An example of classification tree analysis via UniODA. Educational and Psychological Measurement, 56, 656-667. [link]

Yarnold, P.R., & Bryant, F.B. (1994). A measurement model of the Type A Self-Rating Inventory. Journal of Personality Assessment, 62, 102-115. [link]

Yarnold, P.R., Bryant, F.B., Nightingale, S.D., & Martin, G.J. (1996). Assessing physician empathy using the Interpersonal Reactivity Index: A measurement model and cross-sectional analysis. Psychology, Health, and Medicine, 1, 207-221. [link]

Yarnold, P.R., Hart, L.A., & Soltysik, R.C. (1994). Optimizing the classification performance of logistic regression and Fisher’s discriminant analyses. Educational and Psychological Measurement, 54, 73-85. [link]

Yarnold, P.R., Feinglass, J., Martin, G.J., & McCarthy, W.J. (1999). Comparing three pre-processing strategies for longitudinal data for individual patients: An example in functional outcomes research. Evaluation and the Health Professions, 22, 254-277. [link]

Yarnold, P.R., Martin, G.J., Soltysik, R.C., & Nightingale, S.D. (1993). Androgyny predicts empathy for trainees in medicine. Perceptual and Motor Skills, 77, 576-578. [link]

Yarnold, P.R., Michelson, E.A., Thompson, D.A., & Adams, S.L. (1998). Predicting patient satisfaction: A study of two emergency departments. Journal of Behavioral Medicine, 21, 545-563. [link]

Yarnold, P.R., & Soltysik, R.C. (1991). Theoretical distributions of optima for univariate discrimination of random data. Decision Sciences, 22, 739-752. [link]

Yarnold, P.R., & Soltysik, R.C. (1991). Refining two-group multivariable classification models using univariate optimal discriminant analysis. Decision Sciences, 22, 1158-1164. [link]

Yarnold, P.R., Soltysik, R.C., & Bennett, C.L. (1997). Predicting in-hospital mortality of patients with AIDS-related Pneumocystis carinii pneumonia: An example of hierarchically optimal classification tree analysis. Statistics in Medicine, 16, 1451-1463. [link]

Yarnold, P.R., Soltysik, R.C., Lefevre, F, & Martin, G.J. (1998). Predicting in-hospital mortality of patients receiving cardiopulmonary resuscitation: Unit-weighted MultiODA for binary data. Statistics in Medicine, 17, 2405-2414. [link]

Yarnold, P.R., Soltysik, R.C., McCormick, W.C., Burns, R., Lin, E.H.B., Bush, T., & Martin, G.J. (1995). Application of multivariable optimal discriminant analysis in general internal medicine. Journal of General Internal Medicine, 10, 601-606. [link]

Yarnold, P.R., Soltysik, R.C., & Martin, G.J. (1994). Heart rate variability and susceptibility for sudden cardiac death: An example of multivariable optimal discriminant analysis. Statistics in Medicine, 13, 1015-1021. [link]

Yarnold, P.R., Stille, F.C., & Martin, G.J. (1995). Cross-sectional psychometric assessment of the Functional Status Questionnaire: Use with geriatric versus nongeriatric ambulatory medical patients. International Journal of Psychiatry in Medicine, 25, 305-317. [link]

Yung, R.C., Zeng, M.Y., Stoddard, G.J., Garff, M., & Callahan, K. (2012). Transcutaneous computed bioconductance measurement in lung cancer: A treatment enabling technology useful for adjunctive risk stratification in the evaluation of suspicious pulmonary lesions. Journal of Thoracic Oncology, 7, 681-689.

Zakarija, A., Bandarenko, N., Pandey, D.K., Auerbach, A., Raisch, D., Kim, B., Kwaan, H., McKoy, J., Schmitt, B., Davidson, C., Yarnold, P.R., Gorelick, P., Bennett, C.L. (2004). Clopidogrel-associated thrombotic thrombocytopenic purpura (TTP): An update of pharmacovigilance efforts conducted by independent researchers, the pharmaceutical suppliers, and the Food and Drug Administration. Stroke, 35, 533-538. [link] [pdf]

Peer-Reviewed Articles Published in Optimal Data Analysis

Bryant, F.B. (2010). How to save the binary class variable and predicted probability of group membership from logistic regression analysis to an ASCII space-delimited file in SPSS 17 For WindowsOptimal Data Analysis, 1, 161-162.

Bryant, F.B. (2010). The Loyola experience (1993-2009): Optimal data analysis in the Department of Psychology. Optimal Data Analysis, 1, 4-9.

Bryant, F.B., & Harrison, P.R. (2013). How to create an ASCII input data file for UniODA and CTA software. Optimal Data Analysis, 2, 2-6.

Bryant, F.B., & Siegel, E.K.B. (2010). Junk science, test validity, and the Uniform Guidelines for Personnel Selection Procedures: The case of Melendez v. Illinois BellOptimal Data Analysis, 1, 176-198.

Bryant, F.B., & Yarnold, P.R. (2014). Type A behavior and savoring among college undergraduates: Enjoy achievements now—not later. Optimal Data Analysis3, 25-27.

Bryant, F.B., & Yarnold, P.R. (2014). Finding joy in the past, present, and future: The relationship between Type A behavior and savoring beliefs among college undergraduates. Optimal Data Analysis3, 36-41.

Bryant, F.B., & Yarnold, P.R. (2014). Type A behavior, pessimism and optimism among college undergraduates. Optimal Data Analysis3, 32-35.

Coakley, R.M., Holmbeck, G.N., Bryant, F.B., & Yarnold, P.R. (2010). Manual vs. automated CTA: Predicting adolescent psychosocial adaptation. Optimal Data Analysis, 1, 55-58.

Collinge, W.C., Soltysik, R.C., & Yarnold, P.R. (2010). An internet-based intervention for fibromyalgia self-management: Initial design and alpha test. Optimal Data Analysis, 1, 163-175.

Ebert, T.A., & Yarnold, P.R. (2017). Running ODA software on Windows: Assigning missing values using Excel, and using longer file names. Optimal Data Analysis6, 3-4.

Smith, J.H., Bryant, F.B., Njus, D., & Posavac, E.J. (2010). Here today, gone tomorrow: Understanding freshman attrition using Person-Environment Fit Theory. Optimal Data Analysis, 1, 101-124.

Soltysik, R.C., & Yarnold, P.R. (2010). Automated CTA software: Fundamental concepts and control commands. Optimal Data Analysis, 1, 144-160.

Soltysik, R.C., & Yarnold, P.R. (2010). The use of unconfounded climatic data improves atmospheric prediction. Optimal Data Analysis, 1, 67-100.

Soltysik, R.C., & Yarnold, P.R. (2010). Two-group MultiODA: Mixed-integer linear programming solution with bounded MOptimal Data Analysis, 1, 31-37.

Soltysik, R.C., & Yarnold, P.R. (2013). MegaODA large sample and BIG DATA time trials: Separating the chaff.  Optimal Data Analysis, 2, 194-197.

Soltysik, R.C., & Yarnold, P.R. (2013). MegaODA large sample and BIG DATA time trials: Harvesting the Wheat.  Optimal Data Analysis, 2, 202-205.

Soltysik, R.C., & Yarnold, P.R. (2013). Statistical power of optimal discrimination with one attribute and two classes: One-tailed hypotheses. Optimal Data Analysis, 2, 26-30.

Soltysik, R.C., & Yarnold, P.R. (2014). Hierarchically optimal classification tree analysis of adverse drug reactions secondary to warfarin therapy. Optimal Data Analysis3, 23-24.

Suzuki, H., Bryant, F.B., & Edwards, J.D. (2010). Tracing prospective profiles of juvenile delinquency: An optimal classification tree analysis. Optimal Data Analysis, 1, 125-143.

Yarnold PR (2013). Maximum-accuracy multiple regression analysis: Influence of registration on overall satisfaction ratings of emergency room patients.  Optimal Data Analysis2, 72-75.

Yarnold PR (2015). Globally-optimal CTA model of voting for US Senators. Optimal Data Analysis4, 186-187.

Yarnold PR (2015). Globally-optimal CTA model of World War II recruit training camp location preference. Optimal Data Analysis4, 182-183.

Yarnold PR (2015). GO-CTA vs. logit models: Gender and desirability of divorce. Optimal Data Analysis4, 190-191.

Yarnold PR (2015). Knowing (ESS) and not knowing (D). Optimal Data Analysis4, 198.

Yarnold PR (2015). Modeling intended and awarded college degree vis-a-vis UniODA-based structural decomposition. Optimal Data Analysis4, 177-178.

Yarnold PR (2015). Modeling religious mobility by UniODA-based structural decomposition. Optimal Data Analysis4, 192-193.

Yarnold PR (2015). Occupational class, tenure, and voting. Optimal Data Analysis4, 188-189.

Yarnold PR (2015). Predicting divorce: The role of gender, and of pre- and extra-marital sex. Optimal Data Analysis4, 175-176.

Yarnold PR (2015). Reverse CTA vs. Five-Factor Factorial ANOVA: Purifying a crystalline product. Optimal Data Analysis4, 184-185.

Yarnold PR (2015). UniODA vs. point-biserial correlation: Marital status and need for achievement Optimal Data Analysis4, 199.

Yarnold PR (2015). UniODA vs. Wilcoxon rank-sum test: Invariance over monotonic transformations. Optimal Data Analysis4, 200-201.

Yarnold PR (2015). UniODA-based structural decomposition vs. log-linear model: Statics and dynamics of intergenerational class mobility. Optimal Data Analysis4, 179-181.

Yarnold PR (2015). UniODA-based structural decomposition vs.  legacy linear models: Statics and dynamics of intergenerational occupational mobility. Optimal Data Analysis4, 194-196.

Yarnold PR (2015). ESS as an index of decision consistency. Optimal Data Analysis4, 197.

Yarnold PR (2016). Determining jackknife ESS for a CTA model with chaotic instability. Optimal Data Analysis5, 11-14.

Yarnold PR (2016). Maximizing overall percentage accuracy in classification: Discriminating study groups in the National Pressure Ulcer Long-Term Care Study (NPULS). Optimal Data Analysis5, 29-30.

Yarnold PR (2016). Pairwise comparisons using UniODA vs. not log-linear model: Ethnic group and schooling in the 1980 Census. Optimal Data Analysis5, 19-23.

Yarnold PR (2016). UniODA vs. chi-square: Describing baseline data from the National Pressure Ulcer Long-Term Care Study (NPULS). Optimal Data Analysis5, 24-28.

Yarnold PR (2016). UniODA vs. chi-square: Describing baseline data from the National Pressure Ulcer Long-Term Care Study (NPULS). Optimal Data Analysis5, 24-28.

Yarnold PR (2016). UniODA vs. not log-linear model: The relationship of mental health status and socioeconomic status. Optimal Data Analysis5, 15-18.

Yarnold PR (2016). Using UniODA to determine the ESS of a CTA model in LOO analysis. Optimal Data Analysis5, 3-10.

Yarnold, B.M., & Yarnold, P.R. (2010). Maximizing the accuracy of Probit models via UniODA. Optimal Data Analysis, 1, 41-42.

Yarnold, P.R. (2013). Analyzing categorical attributes having many response categories. Optimal Data Analysis, 2, 172-176.

Yarnold, P.R. (2013). Ascertaining an individual patient’s symptom dominance hierarchy: Analysis of raw longitudinal data induces Simpson’s Paradox.  Optimal Data Analysis, 2, 159-171.

Yarnold, P.R. (2013). Assessing hold-out validity of CTA models using UniODA. Optimal Data Analysis, 2, 31-36.

Yarnold, P.R. (2013). Creating a data set with SAS and maximizing ESS of a multiple regression analysis model for a Likert-type dependent variable using UniODA™ and MegaODA™ software. Optimal Data Analysis, 2, 190-193.

Yarnold, P.R. (2013). Determining when annual crude mortality rate most recently began increasing in North Dakota counties, I: Backward-stepping little jiffy. Optimal Data Analysis, 2, 217-219.

Yarnold, P.R. (2013). How to create a data set with SAS™ and compare attributes with UniODA™ in serial single-case designs. Optimal Data Analysis, 2, 157-158.

Yarnold, P.R. (2013). Initial use of hierarchically optimal classification tree analysis in medical research. Optimal Data Analysis, 2, 7-18.

Yarnold, P.R. (2013). Minimum standards for reporting UniODA findings. Optimal Data Analysis2, 63-68.

Yarnold, P.R. (2013). ODA range test vs. one-way analysis of variance: Patient race and lab results. Optimal Data Analysis, 2, 206-210.

Yarnold, P.R. (2013). Percent oil-based energy consumption and average percent GDP growth: A small sample UniODA analysis. Optimal Data Analysis, 2, 60-61.

Yarnold, P.R. (2013). Statistical evaluation of the findings of Qualitative Comparative Analysis. Optimal Data Analysis, 2, 232-234.

Yarnold, P.R. (2013). Statistically significant increases in crude mortality rate of North Dakota counties occurring after massive environmental usage of toxic chemicals and biocides began there in 1997: An optimal static statistical map. Optimal Data Analysis,   2, 98-105.

Yarnold, P.R. (2013). Surfing the Index of Consumer Sentiment: Identifying statistically significant monthly and yearly changes. Optimal Data Analysis, 2, 211-216.

Yarnold, P.R. (2013). The most recent, earliest, and Kth significant changes in an ordered series: Traveling backwards in time to assess when annual crude mortality rate most recently began increasing in McLean County, North Dakota.  Optimal Data Analysis2, 143-147.

Yarnold, P.R. (2013). Univariate and multivariate analysis of categorical attributes with many response categories. Optimal Data Analysis, 2, 177-190.

Yarnold, P.R. (2013).  Assessing technician, nurse, and doctor ratings as predictors of overall satisfaction ratings of Emergency Room patients: A maximum-accuracy multiple regression analysis.  Optimal Data Analysis, 2, 76-85.

Yarnold, P.R. (2013).  Comparing attributes measured with “identical” Likert-type scales in single-case designs with UniODA.  Optimal Data Analysis, 2, 148-153.

Yarnold, P.R. (2013).  Comparing responses to dichotomous attributes in single-case designs.  Optimal Data Analysis, 2, 154-156.

Yarnold, P.R. (2013).  Standards for reporting UniODA findings expanded to include ESP and all possible aggregated confusion tables.  Optimal Data Analysis, 2, 106-119.

Yarnold, P.R. (2013).  UniODA and small samples.  Optimal Data Analysis2, 71.

Yarnold, P.R. (2014). “A statistical guide for the ethically perplexed” (Chapter 4, Panter & Sterba, Handbook of Ethics in Quantitative Methodology, Routledge, 2011): Clarifying disorientation regarding the etiology and meaning of the term Optimal as used in the Optimal Data Analysis (ODA) paradigm. Optimal Data Analysis3, 30-31.

Yarnold, P.R. (2014). “Breaking-up” an ordinal variable can reduce model classification accuracy. Optimal Data Analysis3, 19.

Yarnold, P.R. (2014). “Predicting in-hospital mortality of patients with aids-related Pneumocystis carinii pneumonia: An example of hierarchically optimal classification tree analysis” (Yarnold et al., Statistics in Medicine, 1997, 16, 1451-1463): Corrected Illustration of CTA Model. Optimal Data Analysis3, 28-29.

Yarnold, P.R. (2014). How to assess inter-observer reliability of ratings made on ordinal scales: Evaluating and comparing the Emergency Severity Index (Version 3) and Canadian Triage Acuity Scale. Optimal Data Analysis3, 42-49.

Yarnold, P.R. (2014). How to assess the inter-method (parallel-forms) reliability of ratings made on ordinal scales: Evaluating and comparing the Emergency Severity Index (Version 3) and Canadian Triage Acuity Scale. Optimal Data Analysis3, 50-54.

Yarnold, P.R. (2014). Illustrating how 95% confidence intervals indicate model redundancy. Optimal Data Analysis3, 96-97.

Yarnold, P.R. (2014). Increasing the likelihood of an ambivalent patient recommending the Emergency Department to others, Optimal Data Analysis3, 89-91.

Yarnold, P.R. (2014). Increasing the validity and reproducibility of scientific findings. Optimal Data Analysis3, 107-109.

Yarnold, P.R. (2014). Triage algorithm for chest radiography for community-acquired pneumonia of Emergency Department patients: Missing data cripples research. Optimal Data Analysis3, 102-106.

Yarnold, P.R. (2014). UniODA vs. ROC analysis: Computing the “optimal” cut-point. Optimal Data Analysis3, 117-120.

Yarnold, P.R. (2014). UniODA vs. Bray-Curtis dissimilarity index for count data. Optimal Data Analysis3, 115-116.

Yarnold, P.R. (2014). UniODA vs. chi-square: Audience effect on smile production in infants. Optimal Data Analysis3, 3-5.

Yarnold, P.R. (2014). UniODA vs. chi-square: Discriminating inhibited and uninhibited infant profiles. Optimal Data Analysis3, 9-11.

Yarnold, P.R. (2014). UniODA vs. Kappa: Evaluating the long-term (27-year) test-retest reliability of the Type A Behavior Pattern. Optimal Data Analysis3, 14-16.

Yarnold, P.R. (2014). UniODA vs. Kendall’s Coefficient of Concordance (W): Multiple rankings of multiple movies. Optimal Data Analysis3, 121-123.

Yarnold, P.R. (2014). UniODA vs. logistic regression analysis: Serum cholesterol and coronary heart disease and mortality among middle aged diabetic men. Optimal Data Analysis3, 17-18.

Yarnold, P.R. (2014). UniODA vs. Mann-Whitney U test: Comparative effectiveness of laxatives. Optimal Data Analysis4, 6-8.

Yarnold, P.R. (2014). UniODA vs. Mann-Whitney U test: Sunlight and petal width. Optimal Data Analysis4, 3-5.

Yarnold, P.R. (2014). UniODA vs. polychoric correlation: Number of lambs born over two years. Optimal Data Analysis3, 113-114.

Yarnold, P.R. (2014). UniODA vs. weighted kappa: Evaluating concordance of clinician and patient ratings of the patient’s physical and mental health functioning. Optimal Data Analysis3, 12-13.

Yarnold, P.R. (2014). UniODA vst-test: Comparing two migraine treatments. Optimal Data Analysis3, 6-8.

Yarnold, P.R. (2014). What influences patients to recommend an Emergency Department to others? Optimal Data Analysis3, 85-88.

Yarnold, P.R. (2014). What most dissatisfies Emergency Department Patients? Optimal Data Analysis3, 92-95.

Yarnold, P.R. (2014). What most satisfies Emergency Department patients? Optimal Data Analysis3, 98-101.

Yarnold, P.R. (2015) UniODA vs. Cochran’s Q test: Comparing success of alternatives. Optimal Data Analysis4, 116-117.

Yarnold, P.R. (2015) UniODA vs. Cochran’s Q test: Evaluating success rate in web usability testing. Optimal Data Analysis4, 118-119.

Yarnold, P.R. (2015) UniODA vs. Cochran’s Q test: Pet store reptile display behavior by holiday. Optimal Data Analysis4, 120-121.

Yarnold, P.R. (2015). An example of nonlinear UniODA. Optimal Data Analysis4, 124-128.

Yarnold, P.R. (2015). Distance from a theoretically ideal statistical classification model defined as the number of additional equivalent effects needed to obtain perfect classification for the sample. Optimal Data Analysis4, 81-86

Yarnold, P.R. (2015). Evaluating non-confounded association of an attribute and a class variable using partial UniODA. Optimal Data Analysis4, 32-35.

Yarnold, P.R. (2015). Gender and psychology concentration for graduate students. Optimal Data Analysis4, 131-134.

Yarnold, P.R. (2015). GO-CTA vs. marginal structural model: Observed data from a point-treatment study, stratified by known confounder. Optimal Data Analysis4, 104-106.

Yarnold, P.R. (2015). Is going first an advantage in cribbage? Optimal Data Analysis4, 129-130.

Yarnold, P.R. (2015). Obtaining an enumerated CTA model via automated CTA software. Optimal Data Analysis4, 54-60.

Yarnold, P.R. (2015). Optimal statistical analysis involving multiple confounding variables. Optimal Data Analysis4, 107-112.

Yarnold, P.R. (2015). Optimal statistical models involving a confounding variable. Optimal Data Analysis, 4, 81-103.

Yarnold, P.R. (2015). Selecting the minimum denominator in manual and enumerated CTA. Optimal Data Analysis4, 14-20.

Yarnold, P.R. (2015). UniODA vs. Kruskal-Wallis test: Farming method and corn yield. Optimal Data Analysis4, 113-115.

Yarnold, P.R. (2015). UniODA vs. legacy bivariate statistical methodologies. Optimal Data Analysis4, 73-80.

Yarnold, P.R. (2015). UniODA vs. Bowker’s test for symmetry: Diagnosis before vs. after treatment. Optimal Data Analysis4, 29-31.

Yarnold, P.R. (2015). UniODA vs. chi-square: Measures of effect size. Optimal Data Analysis4, 137-138.

Yarnold, P.R. (2015). UniODA vs. Cochran’s Q test for correlated proportions: Measures of effect size. Optimal Data Analysis4, 135-136.

Yarnold, P.R. (2015). UniODA vs. Kruskal-Wallis test: Gender and dominance of free-ranging domestic dogs in the outskirts of Rome. Optimal Data Analysis4, 122-123.

Yarnold, P.R. (2015). UniODA vs. logistic regression and Fisher’s linear discriminant analysis: Modeling 10-year population change. Optimal Data Analysis4, 139-145.

Yarnold, P.R. (2015). UniODA vs. McNemar’s test for correlated proportions: Diagnosis of disease before vs. after treatment. Optimal Data Analysis4, 24-26.

Yarnold, P.R. (2015). UniODA vs. McNemar’s test: A small sample analysis. Optimal Data Analysis4, 27-28.

Yarnold, P.R. (2015). UniODA vst-Test: Low brain uptake of L-[11C]5-hydroxytryptophan in major depression. Optimal Data Analysis4, 146-147.

Yarnold, P.R. (2016). Ascertaining intervention efficacy. Optimal Data Analysis5, 31-36.

Yarnold, P.R. (2016). Assessing hold-out validity of models of smoking behavior developed for male Anglo-American college undergraduates applied to classify comparable Mexican-American and Indian-American samples. Optimal Data Analysis5, 133-135.

Yarnold, P.R. (2016). Comparing MMPI-2 F-K Index normative data among male and female psychiatric and head-injured patients, individuals seeking disability benefits, police and priest job applicants, and substance abusers. Optimal Data Analysis5, 186-193.

Yarnold, P.R. (2016). Comparing WAIS-R qualitative information for people 75 years and older, with vs. without brain damage. Optimal Data Analysis5, 166-170.

Yarnold, P.R. (2016). CTA vs. non-disentangled omnibus chi-square: Comparing samples (not) selected for study participation. Optimal Data Analysis5, 154-157.

Yarnold, P.R. (2016). CTA vs. chi-square: Comparing voter sentiment in political wards. Optimal Data Analysis5, 129-130.

Yarnold, P.R. (2016). CTA vs. chi-square: Differentiating statistical and ecological significance. Optimal Data Analysis5, 116-117.

Yarnold, P.R. (2016). CTA vs. disintegrated chi-square: Integrated vs. piecemeal analysis. Optimal Data Analysis5, 118-120.

Yarnold, P.R. (2016). CTA vsnot chi-square: Differentiating statistical and ecological significance. Optimal Data Analysis5, 112-115.

Yarnold, P.R. (2016). CTA vsnot chi-square: Fear and specific recommendations do synergistically affect behavior. Optimal Data Analysis5, 104-107.

Yarnold, P.R. (2016). GenODA structural decomposition vs. log-linear model of one-step Markov transition data: Stability and change in male geographic mobility in 1944-1951 and 1951-1953. Optimal Data Analysis5, 213-215.

Yarnold, P.R. (2016). How many EO-CTA models exist in my sample and which is the best model? Optimal Data Analysis5, 62-64.

Yarnold, P.R. (2016). Identifying the descendant family of HO-CTA models by using the minimum denominator selection algorithm: Maximizing ESS versus PAC. Optimal Data Analysis5, 53-57.

Yarnold, P.R. (2016). Matrix display of pairwise novometric associations for ordered variables. Optimal Data Analysis5, 94-101.

Yarnold, P.R. (2016). Novometric analysis predicting voter turnout: Race, education, and organizational membership status. Optimal Data Analysis5, 194-197.

Yarnold, P.R. (2016). Novometric analysis vs. CTA: Disentangling sets of sign-test-based multiple-comparisons. Optimal Data Analysis5, 158-159.

Yarnold, P.R. (2016). Novometric analysis vs. GenODA vs. log-linear model: Temporal stability of the association of presidential vote choice and party identification. Optimal Data Analysis5, 204-207.

Yarnold, P.R. (2016). Novometric analysis vs. MANOVA: MMPI codetype, gender, setting, and the MacAndrew Alcoholism scale. Optimal Data Analysis5, 177-178.

Yarnold, P.R. (2016). Novometric analysis vs. ODA vs. log-linear model in analysis of a two-wave panel design: Assessing temporal stability of Catholic party identification in the 1956-1960 SRC panels. Optimal Data Analysis5, 208-212.

Yarnold, P.R. (2017). Novometric analysis of transition matrices to ascertain Markovian order. Optimal Data Analysis6, 5-8.

Yarnold, P.R. (2017). Novometric comparison of Markov transition matrices for heterogeneous populations. Optimal Data Analysis6, 9-12.

Yarnold, P.R. (2017). Novometric comparison of patient satisfaction with nurse responsiveness over successive quarters. Optimal Data Analysis6, 13-17.

Yarnold, P.R. (2016). Novometric models of smoking habits of male and female friends of American college undergraduates: Gender, smoking, and ethnicity. Optimal Data Analysis5, 146-150.

Yarnold, P.R. (2016). Novometric statistical analysis and the Pearson-Yule debate. Optimal Data Analysis5, 162-165.

Yarnold, P.R. (2016). Novometric theorem generalized to unrestricted class variables. Optimal Data Analysis5, 102-103.

Yarnold, P.R. (2016). Novometric vs. logit analysis: Abortion attitude by religion and time. Optimal Data Analysis5, 225-228.

Yarnold, P.R. (2016). Novometric vs. logit vs. probit analysis: Using gender and race to predict if adolescents ever had sexual intercourse. Optimal Data Analysis5, 223-224.

Yarnold, P.R. (2016). Novometric vs. log-linear analysis: Church attendance, age and religion. Optimal Data Analysis5, 229-232.

Yarnold, P.R. (2016). Novometric vs. log-linear model: Intergenerational occupational mobility of white American men. Optimal Data Analysis5, 218-222.

Yarnold, P.R. (2016). Novometric vs. ODA reliability analysis vs. polychoric correlation with relaxed distributional assumptions: Inter-rater reliability of independent ratings of plant health. Optimal Data Analysis5, 179-183.

Yarnold, P.R. (2016). Novometric vs. recursive causal analysis: The effect of age, education, and region on support of civil liberties. Optimal Data Analysis5, 200-203.

Yarnold, P.R. (2016). Novometrics vs. ODA: Work shift and raw material production quality. Optimal Data Analysis5, 233-234.

Yarnold, P.R. (2016). Novometrics vs. polychoric correlation: Number of lambs born over two years. Optimal Data Analysis5, 184-185.

Yarnold, P.R. (2016). Novometrics vs. Yule’s Q: Voter turnout and organizational membership. Optimal Data Analysis5, 198-199.

Yarnold, P.R. (2016). Novometrics vs. ODA vs. One-Way ANOVA: Evaluating comparative effectiveness of sales training programs, and the importance of conducting LOO with small samples. Optimal Data Analysis5, 131-132.

Yarnold, P.R. (2016). Novometrics vs. regression analysis: Literacy, and age and income, of ambulatory geriatric patients. Optimal Data Analysis5, 83-85.

Yarnold, P.R. (2016). Novometrics vs. regression analysis: Modeling patient satisfaction in the Emergency Room. Optimal Data Analysis5, 86-93.

Yarnold, P.R. (2016). ODA vs. log-linear model: Gender and surgical operation. Optimal Data Analysis5, 216-217.

Yarnold, P.R. (2016). ODA vs. undocumented chi-square: Clarity vs. confusion. Optimal Data Analysis5, 121-123.

Yarnold, P.R. (2016). ODA vs. π and κ: Paradoxes of kappa. Optimal Data Analysis5, 160-161.

Yarnold, P.R. (2016). Parental smoking behavior, ethnicity, gender, and the cigarette smoking behavior of high school students. Optimal Data Analysis5, 136-140.

Yarnold, P.R. (2016). Predicting daily television viewing of senior citizens using education, age and marital status. Optimal Data Analysis5, 151-152.

Yarnold, P.R. (2016). Pruning CTA models to maximize PAC. Optimal Data Analysis5, 58-61.

Yarnold, P.R. (2016). Refined definition of the descendant family in novometric theory. Optimal Data Analysis5, 153.

Yarnold, P.R. (2016). Restricted vs. unrestricted optimal analysis: Smoking behavior of college undergraduates. Optimal Data Analysis5, 124-128.

Yarnold, P.R. (2016). Using gender of an imaginary rated smoker, and subject’s gender, ethnicity, and smoking behavior to identify perceived differences in peer-group smoking standards of American high school students. Optimal Data Analysis5, 141-143.

Yarnold, P.R. (2016). Using novometrics to disentangle complete sets of sign-test-based multiple-comparison findings. Optimal Data Analysis5, 175-176.

Yarnold, P.R. (2016). Would one’s best boy- or girl-friend be more upset if one began smoking: An exploratory GenODA model for Anglo-, Mexican-, and Indian-American college undergraduates. Optimal Data Analysis5, 144-145.

Yarnold, P.R., & Batra, M. (2016). Matrix display of pairwise novometric associations for mixed-metric variables. Optimal Data Analysis5, 104-107.

Yarnold, P.R., & Bennett, C.L. (2016). Novometrics vs. correlation: Age and clinical measures of PCP survivors, Optimal Data Analysis5, 74-78.

Yarnold, P.R., & Bennett, C.L. (2016). Novometrics vs. multiple regression analysis: Age and clinical measures of PCP survivors, Optimal Data Analysis5, 79-82.

Yarnold, P.R., & Brofft, G.C. (2013). Comparing knot strength with UniODA. Optimal Data Analysis, 2, 54-59.

Yarnold, P.R., & Brofft, G.C. (2013). ODA range test vs. one-way analysis of variance: Comparing strength of alternative line connections. Optimal Data Analysis, 2, 198-201.

Yarnold, P.R., & Bryant, F.B. (2013).  Analysis involving categorical attributes having many categories.  Optimal Data Analysis2, 69-70.

Yarnold, P.R., & Bryant, F.B. (2014). The role of residuals in optimal and suboptimal statistical modeling. Optimal Data Analysis4, 9-11.

Yarnold, P.R., & Bryant, F.B. (2015). Obtaining a hierarchically optimal CTA model via UniODA software. Optimal Data Analysis4, 36-53.

Yarnold, P.R., & Linden, A. (2016). Novometric analysis with ordered class variables: The optimal alternative to linear regression analysis, Optimal Data Analysis5, 65-73.

Yarnold, P.R., & Linden, A. (2016). Theoretical aspects of the D statistic. Optimal Data Analysis5, 171-174.

Yarnold, P.R., & Soltysik, R.C. (2010). Aggregated vs. referenced categorical attributes in UniODA and CTA. Optimal Data Analysis, 1, 46-49.

Yarnold, P.R., & Soltysik, R.C. (2010). GenUniODA vs. log-linear model: Modeling discrimination in organizations. Optimal Data Analysis, 1, 59-61.

Yarnold, P.R., & Soltysik, R.C. (2010). Manual vs. automated CTA: Optimal preadmission staging for inpatient mortality from Pneumocystis cariini pneumonia. Optimal Data Analysis, 1, 50-54.

Yarnold, P.R., & Soltysik, R.C. (2010). Maximizing the accuracy of classification trees by optimal pruning. Optimal Data Analysis, 1, 23-29.

Yarnold, P.R., & Soltysik, R.C. (2010). Optimal data analysis: A general statistical analysis paradigm. Optimal Data Analysis, 1, 10-22.

Yarnold, P.R., & Soltysik, R.C. (2010). Precision and convergence of Monte Carlo Estimation of two-category UniODA two-tailed pOptimal Data Analysis, 1, 43-45.

Yarnold, P.R., & Soltysik, R.C. (2010). Unconstrained covariates in CTA. Optimal Data Analysis, 1, 38-40.

Yarnold, P.R., & Soltysik, R.C. (2010). UniODA vs. chi-square: Ordinal data sometimes feign categorical. Optimal Data Analysis, 1, 62-65.

Yarnold, P.R., & Soltysik, R.C. (2013). Confirmatory analysis for an ordered series of a dichotomous attribute: Airborne radiation and congenital hypothyroidism of California newborns. Optimal Data Analysis, 2, 222-227.

Yarnold, P.R., & Soltysik, R.C. (2013). Exploratory analysis for an ordered series of a dichotomous attribute: Airborne radiation and congenital hypothyroidism of California newborns. Optimal Data Analysis, 2, 228-231.

Yarnold, P.R., & Soltysik, R.C. (2013). MegaODA large sample and BIG DATA time trials: Maximum velocity analysis.  Optimal Data Analysis, 2, 220-221.

Yarnold, P.R., & Soltysik, R.C. (2013). Reverse CTA: an optimal analog to analysis of variance. Optimal Data Analysis, 2, 43-47.

Yarnold, P.R., & Soltysik, R.C. (2013).  Ipsative transformations are essential in the analysis of serial data.  Optimal Data Analysis, 2, 94-97.

Yarnold, P.R., & Soltysik, R.C. (2014). Discrete 95% confidence intervals for ODA model- and chance-based classifications. Optimal Data Analysis3, 107-109.

Yarnold, P.R., & Soltysik, R.C. (2014). Emergency Severity Index (Version 3) score predicts hospital admission. Optimal Data Analysis3, 20-22.

Yarnold, P.R., & Soltysik, R.C. (2014). Globally optimal statistical classification models, I: Binary class variable, one ordered attribute. Optimal Data Analysis3, 55-77.

Yarnold, P.R., & Soltysik, R.C. (2014). Globally optimal statistical classification models, II: Unrestricted class variable, two or more attributes. Optimal Data Analysis3, 78-84.

Yarnold, P.R., (2013). Trajectory of crude mortality rate in North Dakota counties. Optimal Data Analysis2, 120-142.

Yarnold, P.R., Bryant, F.B., & Smith, J.H. (2013). Manual vs. Automated CTA: Predicting Freshman Attrition. Optimal Data Analysis, 2, 48-53.

Yarnold, P.R., Bryant, F.B., & Soltysik, R.C. (2013). Maximizing the accuracy of multiple regression models via UniODA: Regression away from the mean. Optimal Data Analysis, 2, 19-25.

Yarnold, P.R., Soltysik, R.C., & Collinge, W. (2013). Modeling individual reactivity in serial designs: An example involving changes in weather and physical symptoms in fibromyalgia. Optimal Data Analysis, 2, 37-42.

Yarnold, PR (2015). Chi-square corner cells test: Two wrongs don’t make a right. Optimal Data Analysis4, 171-172.

Yarnold, PR (2015). Generalized linear interactive modeling: Four wrongs don’t make a right. Optimal Data Analysis4, 173-174.

Yarnold, PR (2015). UniODA vs. chi-square: Deciphering R x C contingency tables. Optimal Data Analysis4, 156-157.

Yarnold, PR (2015). UniODA vs. chi-square: Voter sentiment and political ward. Optimal Data Analysis4, 161-162.

Yarnold, PR (2015). UniODA vs. doubly incomplete three-factor ANOVA: Production failure attributable to acid corrosion. Optimal Data Analysis4, 165-167.

Yarnold, PR (2015). UniODA vs. eyeball analysis: Comparing repeated ordinal scores. Optimal Data Analysis4, 154-155.

Yarnold, PR (2015). UniODA vs. sign test: Comparing repeated ordinal scores. Optimal Data Analysis4, 151-153.

Yarnold, PR (2015). UniODA vs. Spearman rank ρ: Between-raters reliability of scores on the Adverse Drug Reaction Probability Scale. Optimal Data Analysis4, 148-150.

Yarnold, PR (2015). UniODA vs. Wilcoxon rank sum test: A small-sample paired experiment. Optimal Data Analysis4, 163-164.

Yarnold, PR (2015). UniODA vsnot chi-square: Vaccine administration and flu. Optimal Data Analysis4, 159-160.

Yarnold, PR (2015). UniODA vsnot chi-square: Work shift and raw material production quality. Optimal Data Analysis4, 168-170.

Yarnold. P.R. (2015). Estimating inter-rater reliability using pooled data induces paradoxical confounding: An example involving Emergency Severity Index triage ratings. Optimal Data Analysis4, 21-23.

Reference Books

Bryant FB, King SP, Mart CM. (2007). Multivariate statistical strategies for construct validation in positive psychology. Oxford handbook of methods in positive psychology: 61-82.

Chinneck, JW (2008). Feasibility and infeasibility in optimization: Algorithms and computational methods. Vol. 118. Springer.

Horton, A.M. Jr., & Hartlage, L.C. (2010). The handbook of forensic neuropsychology, Second Edition. New York: Springer.

Lyons, J.S. (1997). The measurement and management of clinical outcomes in mental health. New York: Wiley.

White, M (2013). Fibromyalgia Syndrome.  eBook: