Paul R. Yarnold & Ariel Linden Optimal Data Analysis, LLC & Linden Consulting Group, LLC The use of CTA to construct propensity score weights is complicated by division by zero in models having any perfectly predicted endpoints: omitting undefined propensity scores yields a degenerate solution. This note presents an algorithmic remedy to this situation. View … Continue reading Computing Propensity Score Weights for CTA Models Involving Perfectly Predicted Endpoints

Paul R. Yarnold Optimal Data Analysis, LLC Preview begins by describing the ODA algorithm, requisite special-purpose software, and applied investigations using ODA to conduct statistical analysis. Discussion next addresses the development and application of multivariable linear and non-linear optimal models. Preview concludes by discussing current research and development foci, including causal inference methodology, system automation, … Continue reading What is Optimal Data Analysis?

Paul R. Yarnold Optimal Data Analysis, LLC This note offers tips on finding articles on specific topics in ODA. View journal article

Paul R. Yarnold Optimal Data Analysis, LLC A total of 6,005 hospital patients rated their satisfaction with time taken for a nurse to respond to the call button (1=very dissatisfied; 2=somewhat dissatisfied; 3=neutral; 4=somewhat satisfied; 5=very satisfied). Responses were consolidated into four successive quarters (3rd and 4th Quarter of 1989, 1st and 2nd Quarter of … Continue reading Novometric Pairwise Comparisons in Consolidated Temporal Series

Paul R. Yarnold Optimal Data Analysis, LLC A segmentation printout or “banner pass” constitutes a consolidated crosstabulation of user/customer responses to specific prompts, for desired reporting periods and/or organizational units. In this study a total of 6,005 hospital patients rated their satisfaction with time for a nurse to respond to the call button (1=very dissatisfied; … Continue reading Novometric Comparison of Patient Satisfaction with Nurse Responsiveness Over Successive Quarters

Paul R. Yarnold Optimal Data Analysis, LLC The American National Election Panel Study modeled transitions in social class (Working versus Middle) identification occurring between 1956, 1958, and 1960, and although a first-order Markov model was judged unsatisfactory, insufficient measurements were available to validate higher-order models. The sample was thus stratified with respect to whether respondents’ … Continue reading Novometric Comparison of Markov Transition Matrices for Heterogeneous Populations

Paul R. Yarnold Optimal Data Analysis, LLC The American National Election Panel Study modeled transitions in social class identification occurring between 1956, 1958, and 1960. Visual analysis suggested “…that transition probabilities linking class identifications in 1958 and 1960 vary with 1956 identification”. Transition tables were compared using Goodman’s chi-square procedure: chi-square=98.2, df=2, p<0.0001. Based on … Continue reading Novometric Analysis of Transition Matrices to Ascertain Markovian Order

Timothy A. Ebert & Paul R. Yarnold University of Florida & Optimal Data Analysis, LLC For users running ODA software using Windows 7-10 operating systems we describe how to assign missing values via Excel, and we note that file names may consist of more than eight characters. View journal article