Academic Pricing for Book and Software

Academic prices for Maximizing Predictive Accuracy, and for MegaODA and CTA software, is now available to everyone: please see the Resources page.

NOTE: Due to evolving changes in some university IT department regulations, zip files can’t be eMailed to all university eMail addresses. As of October 26, 2017, some orders will be mailed: please see the Resources page.

Computing Propensity Score Weights for CTA Models Involving Perfectly Predicted Endpoints

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.

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What is Optimal Data Analysis?

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, new application arenas, and evolving methods and resources.

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Novometric Pairwise Comparisons in Consolidated Temporal Series

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 1990). Novometric analysis is used to evaluate statistical and ecological significance of all pairwise comparisons between the four quarters within this consolidated temporal series.

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Novometric Comparison of Patient Satisfaction with Nurse Responsiveness Over Successive Quarters

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; 2=somewhat dissatisfied; 3=neutral; 4=somewhat satisfied; 5=very satisfied). Responses were consolidated into successive fiscal quarters (1=3rd Quarter, 1989; 2=4th Quarter, 1989; 3=1st Quarter, 1990; 4=2nd Quarter, 1990). Novometric analysis is used to evaluate the statistical and ecological significance of satisfaction gains observed over time.

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