Propensity Score Analysis: Fundamentals and Developments (Hardcover)

I. Fundamentals of Propensity Score Analysis
1. Propensity Score Analysis: Concepts and Issues, Wei Pan & Haiyan Bai
2. Overview of Implementing Propensity Score Analysis in Statistical Software, Megan Schuler
II. Propensity Score Estimation, Matching, and Covariate Balance
3. Propensity Score Estimation with Boosted Regression, Lane F. Burgette, Daniel F. McCaffrey, & Beth Ann Griffin
4. Methodological Considerations in Implementing Propensity Score Matching, Haiyan Bai
5. Evaluating Covariate Balance, Cassandra W. Pattanayak
III. Weighting Schemes and Other Strategies for Outcome Analysis after Matching
6. Propensity Score Adjustment Methods, M. H. Clark
7. Propensity Score Analysis with Matching Weights, Liang Li, Tom H. Greene, & Brian C. Sauer
8. Robust Outcome Analysis for Propensity-Matched Designs, Scott F. Kosten, Joseph W. McKean, & Bradley E. Huitema
IV. Propensity Score Analysis on Complex Data
9. Latent Growth Modeling of Longitudinal Data with Propensity-Score-Matched Groups, Walter L. Leite
10. Propensity Score Matching on Multilevel Data, Qiu Wang
11. Propensity Score Analysis with Complex Survey Samples, Debbie L. Hahs-Vaughn
V. Sensitivity Analysis and Extensions Related to Propensity Score Analysis
12. Missing Data in Propensity Scores, Robin Mitra
13. Unobserved Confounding in Propensity Score Analysis, Rolf H. H. Groenwold & Olaf H. Klungel
14. Propensity-Score-Based Sensitivity Analysis, Lingling Li, Changyu Shen, & Xiaochun Li
15. Prognostic Scores in Clustered Settings, Ben Kelcey & Christopher M. Swoboda
Author Index
Subject Index
About the Editors
Contributors

Wei Pan (엮은이)    정보 더보기

Haiyan Bai (엮은이)    정보 더보기

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