These methods are closely related to the Rosenbaum and Rubin’s (1983) seminal study of the development of propensity scores-it is for this reason that Chapter 5 of the first edition pooled these methods together. The most significant change of the second edition is discussion of propensity score subclassification, propensity score weighting, and dosage analysis from Chapter 5 to separate chapters. New statistical approaches necessary for understanding the seven evaluation methods are included.Data simulation is used to illustrate key points.Examples in every chapter demonstrate real challenges found in social and health sciences research.Two conceptual frameworks-the Neyman-Rubin counterfactual framework and the Heckman econometric model of causality-provide a foundation for understanding key topics.Each method, and its empirical examples, is linked to specific Stata programs for seamless integration of learning and application.The authors present key information on model derivations and summarize complex statistical arguments-omitting their proofs to challenge readers to apply their learning.

The authors demonstrate new software and include clear illustrations for analyzing treatment dosage with GPS.

The principles and issues related to running propensity score models with sub-classification and weighting are covered in depth.

Expanded content on propensity score analysis with multilevel data includes new discussions of four multilevel models for estimating propensity scores and two strategies for controlling clustering effects in outcome analysis.New coverage of modeling heterogeneous treatment effects includes two nonparametric tests and a discussion of modeling issues to ensure students are on the cutting edge.Newly expanded coverage of analyzing treatment dosage in the context of propensity score modeling broadens the scope of application for readers.Propensity score sub-classification and propensity score weighting are treated as separate models to give thorough attention to each.

Sas university edition propensity score