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 ordersĀ 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.

View journal article