Paul R. Yarnold Optimal Data Analysis, LLC This paper demonstrates the use of maximum-accuracy weighted Markov analysis to model the relationship between two time-lagged variables—serial ratings of pain during the day and subsequent quality of sleep at night—for an individual. View journal article
Month: February 2019
Weighted Optimal Markov Model of a Single Outcome: Ipsative Standardization of Ordinal Ratings is Unnecessary
Paul R. Yarnold Optimal Data Analysis, LLC This note empirically compares the use of raw vs. ipsatively standardized variables in optimal weighted Markov analysis involving a series for a single outcome—presently, ratings of sleep difficulties for an individual. Findings indicate that the raw score and ipsatively standardized ordinal ratings yield equivalent results in such designs. … Continue reading Weighted Optimal Markov Model of a Single Outcome: Ipsative Standardization of Ordinal Ratings is Unnecessary
More On: “Optimizing Suboptimal Classification Trees: S-PLUS® Propensity Score Model for Adjusted Comparison of Hospitalized vs. Ambulatory Patients with Community-Acquired Pneumonia”
Paul R. Yarnold Optimal Data Analysis, LLC A recent article optimized ESS of a suboptimal classification tree model that discriminated hospitalized vs. ambulatory patients with community acquired pneumonia (CAP). This note suggests possible alternatives for two original attributes as a means of increasing model accuracy: patient disease-specific knowledge vs. “college education”, and patient-specific functional status … Continue reading More On: “Optimizing Suboptimal Classification Trees: S-PLUS® Propensity Score Model for Adjusted Comparison of Hospitalized vs. Ambulatory Patients with Community-Acquired Pneumonia”
Confirming the Efficacy of Weighting in Optimal Markov Analysis: Modeling Serial Symptom Ratings
Paul R. Yarnold & Robert C. Soltysik Optimal Data Analysis, LLC This paper uses ODA to weight each event in the transition table by its corresponding absolute change-in-value, thereby maximizing precision of the class variable as well as model accuracy. View journal article
Multiple Regression vs. Novometric Analysis of a Contingency Table
Paul R. Yarnold Optimal Data Analysis, LLC This paper compares findings obtained using multiple regression analysis vs. novometric analysis to identify the relationship between the type of degree earned by 8th Grade math teachers and the training which they received in cultural and cognitive student diversity methods. View journal article