Paul R. Yarnold
Optimal Data Analysis, LLC
A classification tree pruning methodology that maximizes effect strength for sensitivity is demonstrated for a model which was developed using CART® soft¬ware to predict influenza among primary care patients.
Paul R. Yarnold
Optimal Data Analysis, LLC
An optimal model has a specific geometric configuration defined by the number of attributes (“independent variables”—schematically illustrated using circles) and endpoints (defined by response on attribute—indicated by rectangles). Branches direct attributes to endpoints via an if/then/else-based decision rule identified by the (ODA/CTA/novometric) algorithm and operationalized vis-à-vis numerical thresholds or categorical rosters which explicitly maximize (weighted) classification accuracy. In hopes of aiding in the visualization, pursuit and discovery of perfectly accurate statistical classification models, this paper presents schematic diagrams which correspond to combinations of number of attributes and endpoints that are possible for a range of optimal models commonly reported.
Paul R. Yarnold
Optimal Data Analysis, LLC
Two bivariate data sets and four regression models provide the solution.
Paul R. Yarnold
Optimal Data Analysis, LLC
Beyond identifying the most accurate classification model which exists for the sample, and estimating cross-generalizability vis-à-vis jackknife, hold-out and/or other validity methods, ODA provides the exact one- or two-tailed P-value, the sensitivity and predictive value for each category of the class variable, and the effect strength corrected for chance.
Paul R. Yarnold
Optimal Data Analysis, LLC
Research seeking to increase the accuracy of traditional Markov analysis-based models, which assess the outcome (class) variable as a two-category variable, studies the use of over-time weighting schemes. This paper demonstrates how to maximize precision of the class variable by using ODA to weight each individual “observation” (event) in the transition table by its corresponding exact absolute change-in-value.
Paul R. Yarnold
Optimal Data Analysis, LLC
This note identifies psychometric research using ODA to assess inter-rater, inter-method and test-retest reliability of scores made using the Naranjo Adverse Drug Reaction Probability (APS) Scale.
Paul R. Yarnold
Optimal Data Analysis, LLC
This note compiles initial research exploring the use of ODA in Markov process modelling.
