Peer-Reviewed Journals that Published Articles Using ODA software, with Underline 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
Cancer Medicine
Chest
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
Lancet
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
Stroke
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
Introduction
Yarnold PR (2017). What is optimal data analysis? ODA, 6, 26-42.
Yarnold PR (2018). Visualizing application and summarizing accuracy of ODA models. ODA, 7, 85-89.
Yarnold PR, Soltysik RC (2010). Optimal data analysis: A general statistical analysis paradigm. ODA, 1, 10-22.
Yarnold PR (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. ODA, 3, 30-31.
Teaching, Learning
Bryant FB (2010). The Loyola experience (1993-2009): Optimal data analysis in the Department of Psychology. ODA, 1, 4-9.
Yarnold PR (2018). Learning the ODA paradigm. ODA, 7, 14-15.
Yarnold PR (2017). How to find articles in the ODA eJournal. ODA, 6, 25.
Yarnold PR, Soltysik RC (2016). Maximizing predictive accuracy. Chicago, IL: ODA Books. DOI: 10.13140/RG.2.1.1368.3286
Yarnold PR, Soltysik RC (2005). Optimal data analysis: A guidebook with software for Windows. Washington, DC, APA Books.
Software
Yarnold PR (2018). Obtaining personal copies of ODA, MegaODA and CTA software. ODA, 7, 42-43.
Soltysik RC, Yarnold PR (2013). MegaODA large sample and BIG DATA time trials: Separating the chaff. ODA, 2, 194-197.
Soltysik RC, Yarnold PR (2013). MegaODA large sample and BIG DATA time trials: Harvesting the Wheat. ODA, 2, 202-205.
Yarnold PR, Soltysik RC (2013). MegaODA large sample and BIG DATA time trials: Maximum velocity analysis. ODA, 2, 220-221.
Soltysik RC, Yarnold PR (2010). Automated CTA software: Fundamental concepts and control commands. ODA, 1, 144-160.
Bryant FB, Harrison PR (2013). How to create an ASCII input data file for UniODA and CTA software. ODA, 2, 2-6.
Ebert TA, Yarnold PR (2017). Running ODAÔ software on WindowsÔ: Assigning missing values using ExcelÔ, and using longer file names. ODA, 6, 3-4.
Yarnold PR (2018). Creating a data set from a data table. ODA, 7, 12-13.
Classification Tree Analysis (CTA)
Algorithms, Measures, Methods
Yarnold PR (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.
Yarnold PR, Soltysik RC, Bennett CL (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. [See Also: Yarnold PR (2014). “Predicting in-hospital mortality of patients with aids-related Pneumocystis carinii pneumonia: An example of hierarchically optimal classification tree analysis”: Corrected Illustration of CTA Model. ODA, 3, 28-29.]
Yarnold PR, Soltysik RC (2010). Maximizing the accuracy of classification trees by optimal pruning. ODA, 1, 23-29.
Yarnold PR (2010). Unconstrained covariates in CTA. ODA, 1, 38-40.
Yarnold PR (2013). Assessing hold-out validity of CTA models using UniODA. ODA, 2, 31-36.
Yarnold PR, Soltysik RC (2013). Reverse CTA: an optimal analog to analysis of variance. ODA, 2, 43-47.
Yarnold PR (2015). Selecting the minimum denominator in manual and enumerated CTA. ODA, 4, 14-20.
Yarnold PR, Bryant FB (2015). Obtaining a hierarchically optimal CTA model via UniODA software. ODA, 4, 36-53.
Yarnold PR, Bryant FB (2015). Obtaining an enumerated CTA model via automated CTA software. ODA, 4, 54-60.
Yarnold PR (2015). ESS as an index of decision consistency. ODA, 4, 197.
Yarnold PR (2015). Knowing (ESS) and not knowing (D). ODA, 4, 198.
Yarnold PR (2016). Using UniODA to determine the ESS of a CTA model in LOO analysis. ODA, 5, 3-10.
Yarnold PR (2016). Determining jackknife ESS for a CTA model with chaotic instability. ODA, 5, 11-14.
Yarnold PR (2016). Maximizing overall percentage accuracy in classification: Discriminating study groups in the National Pressure Ulcer Long-Term Care Study (NPULS). ODA, 5, 29-30.
Yarnold PR (2016). Ascertaining intervention efficacy. ODA, 5, 31-36.
Yarnold PR (2016). Pruning CTA models to maximize PAC. ODA, 5, 58-61.
Yarnold PR (2016). How many EO-CTA models exist in my sample and which is the best model? ODA, 5, 62-64.
Yarnold PR (2016). Restricted vs. unrestricted optimal analysis: Smoking behavior of college undergraduates. ODA, 5, 124-128.
Yarnold PR (2018). CTA models and staging tables. ODA, 7, 19-22.
Yarnold PR (2018). Obtaining LOO p in analysis involving three or more class categories. ODA, 7, 40-41.
Yarnold PR (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. ODA, 5, 133-135.
Yarnold PR (2018). Objective functions optimized in ODA. ODA, 7, 10-11.
Yarnold PR (2019). When to evaluate a nonlinear model. ODA, 8, 14-20.
Yarnold PR (2019). Growing classification tree models on the basis of a Priori performance criteria. ODA, 8, 30-32.
Yarnold PR, Linden A (2019). Novometric stepwise CTA analysis discriminating three class categories using two ordered attributes. ODA, 8, 68-71.
Yarnold PR (2019). ODA vs. χ2, r, and τ: Trauma exposure in childhood and duration of participation in eating-disorder treatment program. ODA, 8, 72-75.
Yarnold PR (2019). Regression vs. novometric analysis predicting income based on education. ODA, 8, 81-83.
Linden A, Yarnold PR (2019). Some machine learning algorithms find relationships between variables when none exist — CTA doesn’t. ODA, 8, 64-67.
Linden A, Yarnold PR (2019). Effect of sample size on discovery of relationships in random data by classification algorithms. ODA, 8, 76-80.
Linden A, Yarnold PR (2019). Multi-layer perceptron neural net model identifies effect in random data. ODA, 8, 94-96.
Applications
Linden A, Yarnold PR (2016). Using data mining techniques to characterize participation in observational studies. Journal of Evaluation in Clinical Practice, 22, 839-847.
Lyons JS (1997). The evolving role of outcomes in managed health care. Journal of Child and Family Studies, 6, 1-8.
Ostrander R, Weinfurt KP, Yarnold PR, 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.
Yarnold PR, Michelson EA, Thompson DA, Adams SL (1998). Predicting patient satisfaction: A study of two emergency departments. Journal of Behavioral Medicine, 21, 545-563.
Feinglass J, Yarnold PR, Martin GJ, McCarthy WJ. (1998). A classification tree analysis of selection for discretionary treatment. Medical Care, 36, 740-747.
Collinge W, Yarnold PR, 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.
Kanter, AS, Spencer DC, Steinberg MH, Soltysik RC, Yarnold PR, Graham NM (1999). Supplemental vitamin B and progression to AIDS and death in black South African patients infected with HIV. Journal of Acquired Immune Deficiency Syndrome, 21, 252-257.
Kucera CM, Greenberger PA, Yarnold PR, Choy AC, 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.
Mueser KT, Yarnold PR, Rosenberg SD, Drake RE, Swett C, Miles KM, Hill D. (2000). Substance use disorder in hospitalized severely mentally ill psychiatric patients: Prevalence, correlates, and subgroups. Schizophrenia Bulletin, 26, 179-193.
Arozullah AM, Yarnold PR, Weinstein RA, Nwadiaro N, McIlraith TB, Chmiel JS, Sipler AM, Chan C, Goetz MB, Schwartz D, Bennett CL (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.
Donenberg GR, Bryant FB, Emerson E, Wilson HW, Pasch KE (2003). Tracing the roots of early sexual debut among adolescents in psychiatric care. Journal of the American Academy of Psychiatry, 42, 594-608.
Green D, Hartwig D, Chen D, Soltysik RC, Yarnold PR (2003). Spinal cord injury risk assessment for thromboembolism (SPIRATE Study). American Journal of Physical Medicine and Rehabilitation, 12, 950-956.
Arozullah AM, Parada J, Bennett CL, Deloria-Knoll M, Chmiel JS, Phan L, Yarnold PR (2003). A rapid staging system for predicting mortality from HIV-associated community-acquired pneumonia. Chest, 123, 1151-1160.
Layden BL, Minadeo N, Suhy J, Abukhdeir AM, Metreger T, Foley K, Borge G, Crayton JW, Bryant FB, Mota de Freitas D. (2004). Biochemical and psychiatric predictors of Li+ response and toxicity in Li+-treated bipolar patients. Bipolar Disorders, 6, 53-61.
Stalans LJ, Yarnold PR, Seng M, Olson DE, 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.
Zakarija A, Bandarenko N, Pandey DK, Auerbach A, Raisch D, Kim B, Kwaan H, McKoy J, Schmitt B, Davidson C, Yarnold PR, Gorelick P, Bennett CL (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.
Taft CT, Pless AP, Stalans LJ, Koenen KC, King LA, King DW (2005). Risk factors for partner violence among a national sample of combat veterans. Journal of Consulting and Clinical Psychology, 73, 151-159.
Coakley RM, Holmbeck GN, Bryant FB (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.
Arozullah AM, Lee SD, Khan T, Kurup S, Ryan J, Bonner M, Soltysik RC, Yarnold PR (2006). The roles of low literacy and social support in predicting the preventability of hospital admission. Journal of General Internal Medicine, 21, 140-145.
Pachman LM, Abbott K, Sinacore JM, 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.
Nebeker JR, Yarnold PR, Soltysik RC, Sauer BC, Sims SA, Samore MH, Rupper RW, Swanson KM, Savitz LA, Shinogle J, Xu W (2007). Developing indicators of inpatient adverse drug events through non-linear analysis using administrative data. Medical Care, 45, S81-S88.
Snowden JA, Leon SC, Bryant FB, Lyons JS (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.
Kyriacou DN, Yarnold PR, Stein AC, Schmitt BP, Soltysik RC, Nelson RR, Frerichs RR, Noskin GA, Belknap SB, Bennett CL (2007). Discriminating inhalational anthrax from community-acquired pneumonia using chest radiograph findings and a clinical algorithm. Chest, 131, 489-495.
Cromley T, Lavigne JV (2008). Predictors and consequences of early gains in child psychotherapy. Psychotherapy: Theory, Research, Practice, Training, 45, 42-60.
Grobman WA, Terkildsen MF, Soltysik RC, Yarnold PR (2008). Predicting outcome after emergent cerclage using classification tree analysis. American Journal of Perinatology, 25, 443-448.
Kyriacou DM, Yarnold PR, Soltysik RC, Wunderink RG, Schmitt BP, Parada JP, Adams JG (2008). Derivation of a triage algorithm for chest radiography of community-acquired pneumonia in the emergency department. Academic Emergency Medicine, 15, 40-44.
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.
Belknap SM, Moore H, Lanzotti SA, Yarnold PR, Getz,M, Deitrick DL, Peterson A, Akeson J, Maurer T, Soltysik RC, 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.
Smart CM, Nelson NW, Sweet JJ, Bryant FB, Berry DTR, Granacher RP, Heilbronner RL (2008). Use of MMPI-2 to predict cognitive effort: A hierarchically optimal classification tree analysis. Journal of the International Neuropsychological Society, 14, 842-852.
Han SD, Suzuki H, Drake AI, Jak AJ, Houston WS, Bondi MW (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.
Diesfeldt HFA (2009). Visuographic tests of set shifting and inhibitory control: The contribution of constructional impairments. Journal of Neuropsychology, 3, 93-105.
Lyons AM, Leon SC, Zaddach C, Luboyeski EJ, Richards M (2009). Predictors of Clinically Significant Sexual Concerns in a Child Welfare Population. Journal of Child and Adolescent Trauma, 2, 28-45.
Suzuki H, Bryant FB, Edwards JD (2010). Tracing prospective profiles of juvenile delinquency: An optimal classification tree analysis. ODA, 1, 125-143.
Greenleaf RG, Flexon JL, Lurigio AJ, Snowden JA (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.
Alshekhlee A, Ranawat N, Syed TU, Conway D, Ahmad SA, Zaiday OO (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.
Han SD, Suzuki H, Jak AJ, Chang YL, Salmon DP, Bondi MW (2010). Hierarchical cognitive and psychosocial predictors of amnestic mild cognitive impairment. Journal of the International Neuropsychological Society, 16, 721-729.
Smith JH, Bryant FB, Njus D, Posavac EJ (2010). Here today, gone tomorrow: Understanding freshman attrition using Person-Environment Fit Theory. ODA, 1, 101-124.
Lavigne JV, LeBailly SA, Gouze KR, Binns HJ, 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.
Dunleavy AM, Leon SC (2011). Predictors for resolution of antisocial behavior among foster care youth receiving community-based services. Children and Youth Services Review, 33, 2347-2354.
Rupert PA, Miller AO, Tuminello-Hartman ER, Bryant FB (2012). Predictors of career satisfaction among practicing psychologists. Professional Psychology: Research and Practice, 43, 495-502.
Rhode P, Stice E, Gau JM (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.
Collinge W, Kahn J, Walton T, Kozak L, Bauer-Wu S, Fletcher K, Yarnold PR, Soltysik RC (2013). Touch, Caring, and Cancer: Randomized controlled trial of a multimedia caregiver education program. Supportive Care in Cancer, 21, 1405-1414.
Pape TLB, Guernon A, Lundgren S, Patil V, Herrold AA, Smith B, Blahnik M, Picon LM, 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.
Yarnold PR (2013). Initial use of hierarchically optimal classification tree analysis in medical research. ODA, 2, 7-18.
Frazier TW, Youngstrom EA, Fristad MA, Demeter C, Birmaher B, Kowatch RA, Arnold LE, Axelson D, Gill MK, Horwitz SM, Findling RL (2014). Improving clinical prediction of bipolar spectrum disorders in youth. Journal of Clinical Medicine, 3, 218-232.
Soltysik RC, Yarnold PR (2014). Hierarchically optimal classification tree analysis of adverse drug reactions secondary to warfarin therapy. ODA, 3, 23-24.
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.
Bryant FB, Yarnold PR (2014). Type A behavior, pessimism and optimism among college undergraduates. ODA, 3, 32-35.
Bryant FB, Yarnold PR (2014). Finding joy in the past, present, and future: The relationship between Type A behavior and savoring beliefs among college undergraduates. ODA, 3, 36-41.
Bryant FB, Yarnold PR (2014). Type A Behavior and savoring among college undergraduates: Enjoy achievements now—not later. ODA, 3, 25-27.
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.
Sieracki JH, Fuller AK, Leon SC, Jhe Bai G, Bryant FB (2015). The role of race, socioeconomic status, and System of Care services in placement decision-making, Children and Youth Services Review, 50, 3-11.
Stoner AM, Leon SC, Fuller AK (2015). Predictors of reduction in symptoms of depression for children and adolescents in foster care. Journal of Child and Family Studies, 24, 784-797.
Leon SC, Jhe Bai G, Fuller AK, Busching M (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.
Oguoma VM, Nwose EU, Ulasi II, Akintunde AA, Chukwukelu EE, Bwititi PT, Richards RS, Skinner TC (2017). Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus. BMC Public Health, 17:36 (DOI 10.1186/s12889-016-3910-3).
Lavigne JV, Bryant FB, Hopkins J, Gouze KR (2017). Age 4 predictors of Oppositional Defiant Disorder in early grammar school. Journal of Clinical Child & Adolescent Psychology, 1-15. DOI: 10.1080/15374416.2017.1280806
Kiguradze T, Temps WH, Yarnold PR, Cashy J, Brannigan RE, Nardone B, Micali G, West DP, Belknap SM (2017). Persistent erectile dysfunction in men exposed to the 5α-reductase inhibitors, finasteride, or dutasteride. PeerJ, 5: e3020 https://doi.org/10.7717/peerj.3020
Grand LA, Hayes MP, Vogt KA, Vogt DJ, Yarnold PR, Richter KO, Anderson CD, Ostergaard EC, Wilhelm JO (2018). Identification of habitat controls on northern red-legged frog populations: Implications for habitat conservation on an urbanizing landscape in the Pacific Northwest. Ecological Processes. DOI 10.1186/s13717-017-0111-7
Chi-Square, Sign Test
Yarnold PR (2016). CTA vs. not chi-square: Fear and specific recommendations do synergistically affect behavior. ODA, 5, 108-111.
Yarnold PR (2016). CTA vs. not chi-square: Differentiating statistical and ecological significance. ODA, 5, 112-115.
Yarnold PR (2016). CTA vs. chi-square: Differentiating statistical and ecological significance. ODA, 5, 116-117.
Yarnold PR (2016). CTA vs. disintegrated chi-square: Integrated vs. piecemeal analysis. ODA, 5, 118-120.
Yarnold PR (2016). CTA vs. chi-square: Comparing voter sentiment in political wards. ODA, 5, 129-130.
Yarnold PR (2016). CTA vs. non-disentangled omnibus chi-square: Comparing samples (not) selected for study participation. ODA, 5, 154-157.
Yarnold PR (2016). Using EO-CTA to disentangle sets of sign-test-based multiple-comparisons. ODA, 5, 158-159.
Interrupted Time Series, Single-Case Series
Linden A, Yarnold PR (2016). Using machine learning to identify structural breaks in single-group interrupted time series designs. Journal of Evaluation in Clinical Practice, 22, 855-859.
Linden A, Yarnold PR (2018). Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis. Journal of Evaluation in Clinical Practice, 24, 740-744.
Linden A, Yarnold PR (2018). The Australian Gun Buyback Program and rate of suicide by Firearm. ODA, 7, 28-35.
Diesfeldt HFA (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 1st Betto Deelmanprijs). Tijdschrift voor neuropsychologie, 5.
Diesfeldt HFA (2011). Lezen als venster op het taalsysteem (Read as a window on the language system). Tijdschrift voor neuropsychologie, 6.
Diesfeldt HFA (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.
Yarnold PR (2013). Statistically significant increases in crude mortality rate of North Dakota counties occurring after massive environmental usage of toxic chemicals and biocides began there in1998: An optimal static statistical map. ODA, 2, 98-105.
Yarnold PR (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. ODA, 2, 143-147.
Yarnold PR (2013). How to create a data set with SAS™ and compare attributes with UniODA™ in serial single-case designs. ODA, 2, 157-158.
Yarnold PR (2013). Determining when annual crude mortality rate most recently began increasing in North Dakota counties, I: Backward-stepping little jiffy. ODA, 2, 217-219.
Manual vs. Automated
Yarnold PR, Soltysik RC (2010). Manual vs. automated CTA: Optimal preadmission staging for inpatient mortality from Pneumocystit cariini pneumonia. ODA, 1, 50-54.
Coakley RM, Holmbeck GN, Bryant FB, Yarnold PR (2010). Manual vs. automated CTA: Predicting adolescent psychosocial adaptation. ODA, 1, 55-58.
Yarnold PR, Bryant FB, Smith JH (2013). Manual vs. Automated CTA: Predicting Freshman Attrition. ODA, 2, 48-53.
Multicategorical Attributes
Yarnold PR, Bryant FB (2013). Analysis involving categorical attributes having many categories. ODA, 2, 69-70.
Yarnold PR (2013). Analyzing categorical attributes having many response categories. ODA, 2, 172-176.
Yarnold PR (2013). Univariate and multivariate analysis of categorical attributes with many response categories. ODA, 2, 177-190.
Propensity Scores
Linden A, Yarnold PR (2016). Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments. Journal of Evaluation in Clinical Practice, 22, 875-885.
Yarnold PR, Linden A (2017). Computing propensity score weights for CTA models involving perfectly predicted endpoints. ODA, 6, 43-46.
Linden A, Yarnold PR (2017). Using classification tree analysis to generate propensity score weights. Journal of Evaluation in Clinical Practice, 23, 703-712.
Randomized Controlled Studies, Matching
Linden A, Yarnold PR (2016). Using machine learning to assess covariate balance in matching studies. Journal of Evaluation in Clinical Practice, 22, 848-854.
Linden A, Yarnold PR (2016). Combining machine learning and matching techniques to improve causal inference in program evaluation. Journal of Evaluation in Clinical Practice, 22, 868-874.
Linden A, Yarnold PR (2017). Minimizing imbalances on patient characteristics between treatment groups in randomized trials using classification tree analysis. Journal of Evaluation in Clinical Practice, 23, 1309-1315.
Linden A, Yarnold PR (2018). Using ODA in the evaluation of randomized controlled studies. ODA, 7, 46-49.
Linden A, Yarnold PR (2018). Using ODA in the evaluation of randomized controlled studies: Application to survival outcomes. ODA, 7, 50-53.
Survival Analysis
Linden A, Yarnold PR (2017). Modeling time-to-event (survival) data using classification tree analysis. Journal of Evaluation in Clinical Practice, 23, 1299-1308.
Linden A, Yarnold PR (2018). Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting. Journal of Evaluation in Clinical Practice, 24, 380-387.
Coding, Residuals, Missing Data, Increasing Validity/Reproducibility, Measure Precision
Yarnold PR (2010). Aggregated vs. referenced categorical attributes in UniODA and CTA. ODA, 1, 46-49.
Yarnold PR (2014). “Breaking-up” an ordinal variable can reduce model classification accuracy. ODA, 3, 19.
Yarnold PR, Bryant FB (2014). The role of residuals in optimal and suboptimal statistical modeling. ODA, 4, 9-11.
Yarnold PR (2014). Triage algorithm for chest radiography for community-acquired pneumonia of Emergency Department patients: Missing data cripples research. ODA, 3, 102-106.
Yarnold PR (2014). Increasing the validity and reproducibility of scientific findings. ODA, 3, 107-109.
Yarnold PR (2018). Minimize usage of binary measurement scales in rigorous classical research. ODA, 7, 3-9.
Markov
Yarnold PR (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. ODA, 5, 213-215.
Yarnold PR (2017). Novometric analysis of transition matrices to ascertain Markovian order. ODA, 6, 5-8.
Yarnold PR (2017). Novometric comparison of Markov transition matrices for heterogeneous populations. ODA, 6, 9-12.
Yarnold PR (2018). Using ODA to confirm a first order Markov steady state process. ODA, 7, 72-73.
Yarnold PR (2018). Using ODA to determine if a Markov transition process is second order. ODA, 7, 74-75.
Yarnold PR (2018). Using ODA to ascertain if stratification yielded different transition matrices. ODA, 7, 76-77.
Yarnold PR (2018). Initial research using ODA in Markov process modelling. ODA, 7, 90-91.
Yarnold PR (2019). Maximum-precision Markov transition table: Successive daily change in closing price of a utility stock. ODA, 8, 3-10.
Yarnold PR, Soltysik RC (2019). Confirming the efficacy of weighting in optimal Markov analysis: Modeling serial symptom ratings. ODA, 8, 53-55.
Yarnold PR (2019). Weighted optimal Markov model of a single outcome: Ipsative standardization of ordinal ratings is unnecessary. ODA, 8, 60.
Yarnold PR (2019). Optimal Markov model relating two time-lagged outcomes. ODA, 8, 61-63.
MultiODA
Yarnold PR, Soltysik RC, Martin GJ (1994). Heart rate variability and susceptibility for sudden cardiac death: An example of multivariable optimal discriminant analysis. Statistics in Medicine, 13, 1015-1021.
Soltysik RC, Yarnold PR (1994). The Warmack-Gonzalez algorithm for linear two-category multivariable optimal discriminant analysis. Computers and Operations Research, 21, 735-745.
Yarnold PR, Soltysik RC, McCormick WC, Burns R, Lin EHB, Bush T, Martin GJ (1995). Application of multivariable optimal discriminant analysis in general internal medicine. Journal of General Internal Medicine, 10, 601-606.
Yarnold PR, Soltysik RC, Lefevre F, Martin GJ (1998). Predicting in-hospital mortality of patients receiving cardiopulmonary resuscitation: Unit-weighted MultiODA for binary data. Statistics in Medicine, 17, 2405-2414.
Bennett CL, Kim B, Zakarija A, Bandarenko N, Pandey DK, Buffie CG, McKoy JM, Tevar AD, Cursio JF, Yarnold PR, Kwaan HC, Masi DD, Sarode R, Raife TJ, Kiss JE, Raisch DW, Davidson C, Sadler JE, Ortel TL, Zheng XL, 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.
Soltysik RC, Yarnold PR (2010). Two-group MultiODA: Mixed-integer linear programming solution with bounded M. ODA, 1, 31-37.
Novometric Analysis
Algorithms, Measures, Methods
Yarnold PR, Soltysik RC (2014). Globally optimal statistical classification models, I: Binary class variable, one ordered attribute. ODA, 3, 55-77.
Yarnold PR, Soltysik RC (2014). Globally optimal statistical classification models, II: Unrestricted class variable, two or more attributes. ODA, 3, 78-84.
Yarnold PR (2014). Illustrating how 95% confidence intervals indicate model redundancy. ODA, 3, 96-97.
Yarnold PR (2018). Comparing exact discrete 95% CIs for model vs. chance ESS to evaluate statistical significance. ODA, 7, 82-84.
Yarnold PR, Soltysik RC (2014). Discrete 95% confidence intervals for ODA model- and chance-based classifications. ODA, 3, 110-112.
Yarnold PR (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. ODA, 4, 81-86.
Yarnold PR (2016). Identifying the descendant family of HO-CTA models by using the minimum denominator selection algorithm: Maximizing ESS versus PAC. ODA, 5, 53-57.
Yarnold PR (2016). Novometric theorem generalized to unrestricted class variables. ODA, 5, 102-103.
Yarnold PR (2016). Refined definition of the descendant family in novometric theory. ODA, 5, 153.
Yarnold PR, Linden A (2016). Theoretical aspects of the D statistic. ODA, 5, 171-174.
Yarnold PR (2017). Novometric pairwise comparisons in consolidated temporal series. ODA, 6, 18-24.
Yarnold PR (2019). The structure of perfect optimal models with a two-category class variable and four or fewer endpoints. ODA, 8, 21-25.
Applications
Linden A, Yarnold PR (2018). Identifying causal mechanisms in health care interventions using classification tree analysis. Journal of Evaluation in Clinical Practice, 24, 353-361.
Yarnold PR (2014). What influences patients to recommend an Emergency Department to others? ODA, 3, 85-88.
Yarnold PR (2014). Increasing the likelihood of an ambivalent patient recommending the Emergency Department to others, ODA, 3, 89-91.
Yarnold PR (2014). What most dissatisfies Emergency Department patients? ODA, 3, 92-95.
Yarnold PR (2014). What most satisfies Emergency Department patients? ODA, 3, 98-101.
Yarnold PR (2015). Gender and psychology concentration for graduate students. ODA, 4, 131-134.
Yarnold PR (2015). Predicting divorce: The role of gender, and of pre- and extra-marital sex. ODA, 4, 175-176.
Yarnold PR (2015). Globally-optimal CTA model of World War II recruit training camp location preference. ODA, 4, 182-183.
Yarnold PR (2015). Globally-optimal CTA model of voting for US Senators. ODA, 4, 186-187.
Yarnold PR (2015). Occupational class, tenure, and voting. ODA, 4, 188-189.
Yarnold PR (2016). Parental smoking behavior, ethnicity, gender, and the cigarette smoking behavior of high school students. ODA, 5, 136-140.
Yarnold PR (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. ODA, 5, 141-143.
Yarnold PR (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. ODA, 5, 144-145.
Yarnold PR (2016). Novometric models of smoking habits of male and female friends of American college undergraduates: Gender, smoking, and ethnicity. ODA, 5, 146-150.
Yarnold PR (2016). Predicting daily television viewing of senior citizens using education, age and marital status. ODA, 5, 151-152.
Yarnold PR (2016). Comparing WAIS-R qualitative information for people 75 years and older, with vs. without brain damage. ODA, 5, 166-170.
Yarnold PR (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. ODA, 5, 186-193.
Yarnold PR (2016). Novometric analysis predicting voter turnout: Race, education, and organizational membership status. ODA, 5, 194-197.
Yarnold PR (2017). Novometric comparison of patient satisfaction with nurse responsiveness over successive quarters. ODA, 6, 13-17.
Versus
Yarnold PR (2018). Optimal analyses in cohort tables. ODA, 7, 78-81.
Yarnold PR (2016). Novometric statistical analysis and the Pearson-Yule debate. ODA, 5, 162-165.
Yarnold PR, Bennett CL (2016). Novometrics vs. correlation: Age and clinical measures of PCP survivors, ODA, 5, 74-78.
Yarnold PR (2016). Novometrics vs. regression analysis: Literacy, and age and income, of ambulatory geriatric patients. ODA, 5, 83-85.
Yarnold PR (2016). Novometrics vs. regression analysis: Modeling patient satisfaction in the Emergency Room. ODA, 5, 86-93.
Yarnold PR (2016). Novometric analysis vs. MANOVA: MMPI codetype, gender, setting, and the MacAndrew Alcoholism scale. ODA, 5, 177-178.
Yarnold PR (2016). Novometrics vs. polychoric correlation: Number of lambs born over two years. ODA, 5, 184-185.
Yarnold PR (2016). Novometrics vs. Yule’s Q: Voter turnout and organizational membership. ODA, 5, 198-199.
Yarnold PR (2016). Novometric vs. recursive causal analysis: The effect of age, education, and region on support of civil liberties. ODA, 5, 200-203.
Yarnold PR (2016). Novometric analysis vs. GenODA vs. log-linear model: Temporal stability of the association of presidential vote choice and party identification. ODA, 5, 204-207.
Yarnold PR (2016). Novometric vs. log-linear analysis: Church attendance, age and religion. ODA, 5, 229-232.
Yarnold PR (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. ODA, 5, 208-212.
Yarnold PR (2016). Novometric vs. log-linear model: Intergenerational occupational mobility of white American men. ODA, 5, 218-222.
Yarnold PR (2016). Novometric vs. logit analysis: Abortion attitude by religion and time. ODA, 5, 225-228.
Yarnold PR (2016). Novometric vs. logit vs. probit analysis: Using gender and race to predict if adolescents ever had sexual intercourse. ODA, 5, 223-224.
Yarnold PR (2015). GO-CTA vs. marginal structural model: Observed data from a point-treatment study, stratified by known confounder. ODA, 4, 104-106.
Yarnold PR, Bennett CL (2016). Novometrics vs. multiple regression analysis: Age and clinical measures of PCP survivors, ODA, 5, 79-82.
Yarnold PR (2016). Novometrics vs. ODA: Work shift and raw material production quality. ODA, 5, 233-234.
Yarnold PR (2016). Novometrics vs. ODA vs. One-Way ANOVA: Evaluating comparative effectiveness of sales training programs, and the importance of conducting LOO with small samples. ODA, 5, 131-132.
Yarnold PR, Linden A. (2016). Novometric analysis with ordered class variables: The optimal alternative to linear regression analysis, ODA, 5, 65-73.
Yarnold PR (2016). Using novometrics to disentangle complete sets of sign-test-based multiple-comparison findings. ODA, 5, 175-176.
Yarnold PR (2018). Friedman test vs. ODA vs. novometry: Rating violin excellence. ODA, 7, 16-18.
Yarnold PR (2019). Multiple regression vs. novometric analysis of a contingency table. ODA, 8, 48-52.
ODA
Algorithms, Measures, Methods
Yarnold PR, Soltysik RC (1991). Theoretical distributions of optima for univariate discrimination of random data. Decision Sciences, 22, 739-752.
Soltysik RC, Yarnold PR (1994). Univariable optimal discriminant analysis: One-tailed hypotheses. Educational and Psychological Measurement, 54, 646-653.
Carmony L, Yarnold PR, 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.
Yarnold PR, Soltysik RC (2010). Precision and convergence of Monte Carlo Estimation of two-category UniODA two-tailed p. ODA, 1, 43-45.
Soltysik RC, Yarnold PR (2013). Statistical power of optimal discrimination with one attribute and two classes: One-tailed hypotheses. ODA, 2, 26-30.
Yarnold PR, Soltysik RC (2013). Confirmatory analysis for an ordered series of a dichotomous attribute: Airborne radiation and congenital hypothyroidism of California newborns. ODA, 2, 222-227.
Yarnold PR, Soltysik RC (2013). Exploratory analysis for an ordered series of a dichotomous attribute: Airborne radiation and congenital hypothyroidism of California newborns. ODA, 2, 228-231.
Yarnold PR (2015). An example of nonlinear UniODA. ODA, 4, 124-128.
Applications
Yarnold PR, Martin GJ, Soltysik RC, Nightingale SD (1993). Androgyny predicts empathy for trainees in medicine. Perceptual and Motor Skills, 77, 576-578.
Weinfurt KP, Bryant FB, Yarnold PR (1994). The factor structure of the Affect Intensity Measure: In search of a measurement model. Journal of Research in Personality, 28, 314-331.
Stalans LJ, Finn MA (1995). How novice and experienced officers interpret wife assaults: Normative and efficiency frames. Law & Society Review, 29, 301-335.
Kabalin CS, Yarnold PR, Grammer LG (1995). Low complication rate of corticosteroid-treated asthmatics undergoing surgical procedures. Archives of Internal Medicine, 155, 1379-1384.
Bryant FB, Yarnold PR (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.
Grammer LC, Shaughnessy MA, Hogan MB, Lowenthal M, Yarnold PR, Watkins DM, Berggruen SM (1995). Study of employees with anhydride-induced respiratory disease after removal from exposure. Journal of Occupational and Environmental Medicine, 37, 820-825.
Thompson DA, Yarnold PR (1995). Relating patient satisfaction to waiting time perceptions and expectations: The Disconfirmation Paradigm. Academic Emergency Medicine, 2, 1057-1062.
Grammer LC, Shaughnessy MA, Hogan MB, Berggruen SM, Watkins DM, Yarnold PR (1995). Value of antibody level in diagnosing anhydride-induced immunologic respiratory disease. Journal of Laboratory and Clinical Medicine, 125, 650-653.
Harvey RL, Roth EJ, Yarnold PR, Durham JR, 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.
Thompson DA, Yarnold PR, Williams DR, Adams SL (1996). 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.
Wyte CD, Adams SL, Cabel JA, Pearlman K, Yarnold PR, Morkin M, Hott KA, Mathews JA (1996). Prospective evaluation of emergency medicine instruction for rotating first-postgraduate-year residents. Academic Emergency Medicine, 3, 72-76.
Grammer LC, Shaugnnessy MA, Yarnold PR (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.
Thompson DA, Yarnold PR, Adams SL, Spacone AB (1996). How accurate are patient’s waiting time perceptions? Annals of Emergency Medicine, 28, 652-656.
Bryant FB, Yarnold PR, Grimm LG (1996). Toward a measurement model of the Affect Intensity Measure: A three-factor structure. Journal of Research in Personality, 30, 223-247.
DeArmon JS, Lacher AR (1997). Aggregate flow directives as a ground delay strategy: Concept analysis using discrete-event simulation. Air Traffic Control Quarterly, 4, 307-323.
Levenson T, Grammer LC, Yarnold PR, Patterson R (1997). Cost-effective management of malignant potentially fatal asthma. Allergy and Asthma Proceedings, 18, 73-78.
Cohen R, Wiley S, Oswald DP, Eakin KB, Best AM (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.
Grammer LC, Shaughnessy MA, Kenamore BD, Yarnold PR (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.
Collinge W, Yarnold PR (2001). Transformational breath work in medical illness: Clinical applications and evidence of immunoenhancement. Subtle Energies & Energy Medicine, 12, 139-156.
Grammer LC, Zeiss CR, Yarnold PR, Shaughnessy MA (2002). Human leucocyte antigens (HLA) and trimellitic anhydride (TMA) immunologic lung disease. Respiratory Medicine, 18, 473-477.
Moran JV, Conley DB, Grammer LC, Haines GK, Kern RC, Yarnold PR, Tripathi A, Harris KE, Ditto AM (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.
Tanabe P, Gimbel R, Yarnold PR, Kyriacou DN, Adams JG (2004). Reliability and validity of scores on the Emergency Severity Index Version 3. Academic Emergency Medicine, 11, 59-65.
Van Lancker JA, Yarnold PR, Ditto AM, Tripathi A, Conley DB, Kern RC, Harris KE, Grammer LC (2005). Aeroallergen hypersensitivity: Comparing patients with nasal polyps to those with allergic rhinitis. Allergy and Asthma Proceedings, 26, 109-112.
Axelrod BN, Fichtenberg NL, Millis SR, Wertheimer JC (2006). Detecting incomplete effort with digit span from the Wechsler Adult Intelligence Scale—Third Edition. The Clinical Neuropsychologist, 20, 513-523.
Belmares J, Gerding DN, Parada JP, 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.
Diesfeldt HFA (2007). Discrepanties tussen de Informantvragenlijst (IQCODE) en cognitieve tests bij deelnemers aan psychogeriatrische dagbehandeling.Tijdschrift voor Gerontologie en Geriatrie, 38, 199-209.
Stalans LJ, 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.
Bennett CL, Nebeker JR, Yarnold PR, Tigue CC, Dorr DA, McKoy JM, Edwards BJ, Hurdle JF, West DP, Lau DT, Angelotta C, Weitzman SA, Belknap SM, Djulbegovic B, Tallman MS, Kuzel TM, Benson AB, Evens A, Trifilio SM, Courtney DM, Raisch DW (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.
Trifilio SM, Yarnold PR, Scheetz MH, Pi J, Pennick G, Mehta J (2009). Serial plasma voriconazole concentrations after allogeneic hematopoietic stem cell transplantation. Antimicrobial Agents and Chemotherapy, 53, 1793-1796.
McKoy JM, Bennett CL, Scheetz MH, Differding V, Scarsi KK, Yarnold PR, Sutton S, Chandler K, Palella F, Johnson S, Obadina E, Raisch DW, Parada JP (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.
Green D, Sullivan S, Simpson J, Soltysik RC, Yarnold PR (2009). Evolving risk for thromboembolism in spinal cord injury (SPIRATE Study). American Journal of Physical Medicine and Rehabilitation, 84, 420-422.
Brocklehurst PR, Baker SR, Speight PM (2010). Factors which determine the referral of potentially malignant disorders by primary care dentists. Journal of Dentistry, 38, 569-578.
Collinge WC, Soltysik RC, Yarnold PR (2010). An internet-based intervention for fibromyalgia self-management: Initial design and alpha test. ODA, 1, 163-175.
Brocklehurst PR, Baker SR, Speight PM (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.
Stalans LJ, Hacker R, Talbot ME (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.
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.
Jones A, Ingram MV (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.
Yung RC, Zeng MY, Stoddard GJ, 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.
Yarnold PR, Brofft GC (2013). Comparing knot strength with UniODA. ODA, 2, 54-59.
Trenery A, Kessler S, Eleasa VS, Lebby A, Bennett CL, Yarnold PR, Ray P, Raisch DW, 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.
Collinge W, Yarnold PR, Soltysik RC (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.
Herrold AA, Pape TLB, 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
Yarnold PR, Soltysik RC (2014). Emergency Severity Index (Version 3) score predicts hospital admission. ODA, 3, 20-22.
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: http://dx.doi.org/10.1016/j.jpsychires.2014.08.005
Yarnold PR (2015). Is going first an advantage in cribbage? ODA, 4, 129-130.
Oguoma VM, Nwose EU, Ulasi II, Akintunde AA, Chukwukelu EE, Araoye MA, Edo AE, Ijoma CK, Onyia IC, Ogbu II, Onyeanusi JC, Digban KA, Onodugo OD, Adediran O, Opadijo OG, Bwititi PT, Richards RS, Skinner TC (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.
Martin J, Benjamin E, Craver C, Kroch E, Nelson E, Bankowitz R (2016). Measuring adverse events in hospitalized patients: An administrative method for measuring harm. Journal of Patient Safety, 12, 125-131.
Linden A, Yarnold PR (2018). Reanalysis of the National Supported Work Experiment using ODA. ODA, 7, 54-58.
Chi-Square
Yarnold JK (1970). The minimum expectation in c2 goodness of fit tests and the accuracy of approximations for the null distribution. Journal of the American Statistical Association, 65, 864-886. URL: http://www.jstor.org/stable/2284594
Yarnold PR (2010). UniODA vs. chi-square: Ordinal data sometimes feign categorical. ODA, 1, 62-65.
Yarnold PR (2014). UniODA vs. chi-square: Audience effect on smile production in infants. ODA, 3, 3-5.
Yarnold PR (2014). UniODA vs. chi-square: Discriminating inhibited and uninhibited infant profiles. ODA, 3, 9-11.
Yarnold PR (2015). UniODA vs. chi-square: Measures of effect size. ODA, 4, 137-138.
Yarnold PR (2016). CTA vs. not chi-square: Differentiating statistical and ecological significance. ODA, 5, 112-115.
Yarnold PR (2016). CTA vs. chi-square: Differentiating statistical and ecological significance. ODA, 5, 116-117.
Yarnold, PR (2015). UniODA vs. chi-square: Deciphering R x C contingency tables. ODA, 4, 156-158.
Yarnold, PR (2015). UniODA vs. not chi-square: Vaccine administration and flu. ODA, 4, 159-160.
Yarnold, PR (2015). UniODA vs. chi-square: Voter sentiment and political ward. ODA, 4, 161-162.
Yarnold, PR (2015). UniODA vs. not chi-square: Work shift and raw material production quality. ODA, 4, 168-170.
Yarnold PR (2015). Chi-square corner cells test: Two wrongs don’t make a right. ODA, 4, 171-172.
Yarnold PR (2016). UniODA vs. chi-square: Describing baseline data from the National Pressure Ulcer Long-Term Care Study (NPULS). ODA, 5, 24-28.
Yarnold PR (2016). ODA vs. undocumented chi-square: Clarity vs. confusion. ODA, 5, 121-123.
Yarnold PR (2019). Value-added by ODA vs. chi-square. ODA, 8, 10-14.
Dose-Response
Linden A, Yarnold PR , Nallamothu BK (2016). Using machine learning to model dose-response relationships. Journal of Evaluation in Clinical Practice, 22, 860-867.
Yarnold PR, Linden A. (2016). Using machine learning to model dose-response relationships: Eliminating response variable baseline variation by ipsative standardization. ODA, 5, 41-52.
Log-Linear Model
Yarnold PR (2010). GenUniODA vs. log-linear model: Modeling discrimination in organizations. ODA, 1, 59-61.
Yarnold PR (2015). UniODA-based structural decomposition vs. log-linear model: Statics and dynamics of intergenerational class mobility. ODA, 4, 179-181.
Yarnold PR (2016). UniODA vs. not log-linear model: The relationship of mental health status and socioeconomic status. ODA, 5, 15-18.
Yarnold PR (2016). Pairwise comparisons using UniODA vs. not log-linear model: Ethnic group and schooling in the 1980 Census. ODA, 5, 19-23.
Yarnold PR (2016). ODA vs. log-linear model: Gender and surgical operation. ODA, 5, 216-217.
Logistic Regression/Fisher’s Discriminant
Yarnold PR (2014). UniODA vs. logistic regression analysis: Serum cholesterol and coronary heart disease and mortality among middle aged diabetic men. ODA, 3, 17-18.
Yarnold PR (2015). UniODA vs. logistic regression and Fisher’s linear discriminant analysis: Modeling 10-year population change. ODA, 4, 139-145.
Multicategorical Class Variable
Yarnold PR, Brofft GC (2013). ODA range test vs. one-way analysis of variance: Comparing strength of alternative line connections. ODA, 2, 198-201.
Yarnold PR (2013). ODA range test vs. one-way analysis of variance: Patient race and lab results. ODA, 2, 206-210.
Yarnold PR (2016). Matrix display of pairwise novometric associations for ordered variables. ODA, 5, 94-101.
Yarnold PR, Batra M (2016). Matrix display of pairwise novometric associations for mixed-metric variables. ODA, 5, 104-107.
Optimizing (Refining) Suboptimal Models
Yarnold PR (2019). Maximizing classification accuracy of CART® recursive partitioning tree models using optimal pruning. ODA, 8, 26-29.
Yarnold PR (2019). Maximizing the accuracy of a CART tree model predicting missing data. ODA, 8, 33-37.
Yarnold PR (2019). Optimizing suboptimal classification trees: S-PLUS® propensity score model for adjusted comparison of hospitalized vs. ambulatory patients with community-acquired pneumonia. ODA, 8, 38-47.
Yarnold PR (2019). More on: “Optimizing suboptimal classification trees: S-PLUS® propensity score model for adjusted comparison of hospitalized vs. ambulatory patients with community-acquired pneumonia”. ODA, 8, 56-59.
Yarnold PR, Linden A (2019). Optimizing suboptimal classification trees: Matlab® CART model predicting probability of lower limb prosthesis user’s functional potential. ODA, 8, 84-93.
Linden A, Yarnold PR (2018). Identifying maximum-accuracy cut-points for diagnostic indexes via ODA. ODA, 7, 59-65.
Linden A, Yarnold PR (2018). Comparative accuracy of a diagnostic index modeled using (optimized) regression vs. novometrics. ODA, 7, 66-71.
Bryant FB (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 Windows. ODA, 1, 161-162.
Yarnold PR, Soltysik RC (1991). Refining two-group multivariable classification models using univariate optimal discriminant analysis. Decision Sciences, 22, 1158-1164.
Yarnold PR, Hart LA, Soltysik RC (1994). Optimizing the classification performance of logistic regression and Fisher’s discriminant analyses. Educational and Psychological Measurement, 54, 73-85.
Yarnold PR, Bryant FB (1994). A measurement model of the Type A Self-Rating Inventory. Journal of Personality Assessment, 62, 102-115.
Weinfurt KP, Bush PJ (1995). Peer assessment of early adolescents solicited to participate in drug trafficking: A longitudinal model. Journal of Applied Social Psychology, 25, 2141-2157.
Yarnold PR, Stille FC, Martin GJ (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.
Yarnold PR, Bryant FB, Nightingale SD, Martin GJ (1996). Assessing physician empathy using the Interpersonal Reactivity Index: A measurement model and cross-sectional analysis. Psychology, Health, and Medicine, 1, 207-221.
Yarnold BM, Yarnold PR (2010). Maximizing the accuracy of Probit models via UniODA. ODA, 1, 41-42.
Yarnold PR, Bryant FB, Soltysik RC (2013). Maximizing the accuracy of multiple regression models via UniODA: Regression away from the mean. ODA, 2, 19-25.
Yarnold PR (2018). Alternative prediction-interval scaling strategies for regression models. ODA, 7, 44-45.
Yarnold PR (2013). Maximum-accuracy multiple regression analysis: Influence of registration on overall satisfaction ratings of emergency room patients. ODA, 2, 72-75.
Yarnold PR (2013). Assessing technician, nurse, and doctor ratings as predictors of overall satisfaction ratings of Emergency Room patients: A maximum-accuracy multiple regression analysis. ODA, 2, 76-85.
Yarnold PR (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. ODA, 2, 191-193.
Yarnold PR (2015). Maximizing ESS of regression models in applications with dependent measures with domains exceeding ten values. ODA, 4, 12-13.
Reliability Analysis
Yarnold PR, Feinglass J, Martin GJ, McCarthy WJ (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.
Bobb A, Gleason K, Husch M, Feinglass J, Yarnold PR, Noskin GA (2004). The epidemiology of prescribing errors: The potential impact of computerized prescriber order entry. Archives of Internal Medicine, 164, 785-792.
Diesfeldt HFA (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.
Yarnold PR (2014). UniODA vs. weighted kappa: Evaluating concordance of clinician and patient ratings of the patient’s physical and mental health functioning. ODA, 3, 12-13.
Yarnold PR (2014). UniODA vs. kappa: Evaluating the long-term (27-year) test-retest reliability of the Type A Behavior Pattern. ODA, 3, 14-16.
Yarnold PR (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. ODA, 3, 42-49.
Yarnold PR (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. ODA, 3, 50-54.
Yarnold PR (2015). Estimating inter-rater reliability using pooled data induces paradoxical confounding: An example involving Emergency Severity Index triage ratings. ODA, 4, 21-23.
Yarnold PR (2016) Causality of adverse drug reactions: The upper-bound of arbitrated expert agreement for ratings obtained by WHO and Naranjo algorithms. ODA, 5, 37-40.
Yarnold PR (2016). Novometric vs. ODA reliability analysis vs. polychoric correlation with relaxed distributional assumptions: Inter-rater reliability of independent ratings of plant health. ODA, 5, 179-183.
Yarnold PR (2018). Psychometric properties of scores on the Naranjo Adverse Drug Reaction Probability Scale, as evaluated by ODA. ODA, 7, 92.
Reporting Standards
Yarnold PR (2013). Minimum standards for reporting UniODA findings. ODA, 2, 63-68.
Yarnold PR (2013). Minimum standards for reporting UniODA findings for class variables with three or more response categories. ODA, 2, 86-93.
Yarnold PR (2013). Standards for reporting UniODA findings expanded to include ESP and all possible aggregated confusion tables. ODA, 2, 106-119.
Serial and N-of-1 Designs, Simpson’s Paradox
Yarnold PR (1996). Characterizing and circumventing Simpson’s paradox for ordered bivariate data. Educational and Psychological Measurement, 56, 430-442.
Bryant FB, Siegel EKB (2010). Junk science, test validity, and the Uniform Guidelines for Personnel Selection Procedures: The case of Melendez v. Illinois Bell. ODA, 1, 176-198.
Soltysik RC, Yarnold PR (2010). The use of unconfounded climatic data improves atmospheric prediction. ODA, 1, 67-100.
Yarnold PR, Soltysik RC, Collinge W (2013). Modeling individual reactivity in serial designs: An example involving changes in weather and physical symptoms in fibromyalgia. ODA, 2, 37-42.
Yarnold PR, Soltysik RC (2013). Ipsative transformations are essential in the analysis of serial data. ODA, 2, 94-97.
Yarnold PR (2013). Comparing attributes measured with “identical” Likert-type scales in single-case designs with UniODA. ODA, 2, 148-153.
Yarnold PR (2013). Comparing responses to dichotomous attributes in single-case designs. ODA, 2, 154-156.
Yarnold PR (2013). Ascertaining an individual patient’s symptom dominance hierarchy: Analysis of raw longitudinal data induces Simpson’s Paradox. ODA, 2, 159-171.
Small Sample
Yarnold PR (2013). Percent oil-based energy consumption and average percent GDP growth: A small sample UniODA analysis. ODA, 2, 60-61.
Yarnold PR (2013). UniODA and small samples. ODA, 2, 71.
Structural Decomposition
Yarnold PR (2015). Modeling intended and awarded college degree vis-à-vis UniODA-based structural decomposition. ODA, 4, 177-178.
Yarnold PR (2015). Modeling religious mobility by UniODA-based structural decomposition. ODA, 4, 192-193.
Yarnold PR (2015). UniODA-based structural decomposition vs. legacy linear models: Statics and dynamics of intergenerational occupational mobility. ODA, 4, 194-196.
Versus
Yarnold PR (2015). UniODA vs. doubly incomplete three-factor ANOVA: Production failure attributable to acid corrosion. ODA, 4, 165-167.
Yarnold PR (2018). ANOVA with one between-groups factor vs. novometric analysis. ODA, 7, 23-25.
Yarnold PR (2018). ANOVA with two between-groups factors vs. novometric analysis. ODA, 7, 26-27.
Yarnold PR (2018). ANOVA with three between-groups factors vs. novometric analysis. ODA, 7, 36-39.
Yarnold PR (2015). UniODA vs. Bowker’s test for symmetry: Diagnosis before vs. after treatment. ODA, 4, 29-31.
Yarnold PR (2014). UniODA vs. Bray-Curtis dissimilarity index for count data. ODA, 3, 115-116.
Yarnold PR (2015). UniODA vs. Cochran’s Q test: Comparing success of alternatives. ODA, 4, 116-117.
Yarnold PR (2015). UniODA vs. Cochran’s Q test: Evaluating success rate in web usability testing. ODA, 4, 118-119.
Yarnold PR (2015). UniODA vs. Cochran’s Q test: Pet store reptile display behavior by holiday. ODA, 4, 120-121.
Yarnold PR (2015). UniODA vs. Cochran’s Q test for correlated proportions: Measures of effect size. ODA, 4, 135-136.
Yarnold PR (2015). Evaluating non-confounded association of an attribute and a class variable using partial UniODA. ODA, 4, 32-35.
Yarnold PR (2015). Optimal statistical analysis involving a confounding variable. ODA, 4, 87-103.
Yarnold PR (2015). Optimal statistical analysis involving multiple confounding variables. ODA, 4, 107-112.
Yarnold PR (2015). UniODA vs. eyeball analysis: Comparing repeated ordinal scores. ODA, 4, 154-155.
Yarnold PR (2015). Generalized linear interactive modeling: Four wrongs don’t make a right. ODA, 4, 173-174.
Yarnold PR (2014). UniODA vs. Kendall’s Coefficient of Concordance (W): Multiple rankings of multiple movies. ODA, 3, 121-123.
Yarnold PR (2015). UniODA vs. Kruskal-Wallis test: Farming method and corn yield. ODA, 4, 113-115.
Yarnold PR (2015). UniODA vs. Kruskal-Wallis test: Gender and dominance of free-ranging domestic dogs in the outskirts of Rome. ODA, 4, 122-123.
Yarnold PR (2015). UniODA vs. legacy bivariate statistical methodologies. ODA, 4, 73-80.
Yarnold PR (2015). UniODA vs. McNemar’s test for correlated proportions: Diagnosis of disease before vs. after treatment. ODA, 4, 24-26.
Yarnold PR (2015). UniODA vs. McNemar’s test: A small sample analysis. ODA, 4, 27-28.
Yarnold PR (2014). UniODA vs. Mann-Whitney U test: Sunlight and pedal width. ODA, 4, 3-5.
Yarnold PR (2014). UniODA vs. Mann-Whitney U test: Comparative effectiveness of laxatives. ODA, 4, 6-8.
Yarnold PR (2016). ODA vs. π and κ: Paradoxes of kappa. ODA, 5, 160-161.
Yarnold PR (2015). UniODA vs. point-biserial correlation: Marital status and need for achievement ODA, 4, 199.
Yarnold PR (2014). UniODA vs. polychoric correlation: Number of lambs born over two years. ODA, 3, 113-114.
Yarnold PR (2014). UniODA vs. ROC analysis: Computing the “optimal” cut-point. ODA, 3, 117-120.
Yarnold PR (2015). UniODA vs. sign test: Comparing repeated ordinal scores. ODA, 4, 151-153.
Yarnold PR (2015). UniODA vs. Spearman rank ρ: Between-raters reliability of scores on the Adverse Drug Reaction Probability Scale. ODA, 4, 148-150.
Yarnold PR (2015). UniODA vs. Wilcoxon rank sum test: A small-sample paired experiment. ODA, 4, 163-164.
Yarnold PR (2014). UniODA vs. t-Test: Comparing two migraine treatments. ODA, 3, 6-8.
Yarnold PR (2015). UniODA vs. t-Test: Low brain uptake of L-[11C]5-hydroxytryptophan in major depression. ODA, 4, 146-147.
Yarnold PR (2015). UniODA vs. Wilcoxon Rank-Sum Test: Invariance over Monotonic Transformations. ODA, 4, 200-201.
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: http://www.natrx.co.za/media/file/Fibromyalgiae-Book.pdf
odajournal.com 