Title: Propensity score analysis : fundamentals and developments
Abstract: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, Mega...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 ContributorsRead More
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: book
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Cited By Count: 110
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