Description
Book SynopsisPreface.- Part I First Steps.- 1. Examples of Observational Studies.- 2. Causal Inference in Randomized Experiments.- 3. Some Background Topics in Statistics.- Part II Adjustments for Observed Covariates.- 4. Propensity Scores and Ignorable Treatment Assignment.- 5. Algorithms for Matching.- 6. Evaluating the Balance of Observed Covariates.- 7. Covariance Adjustment.- Part III Sensitivity of Inferences to Covariates That Were Not Observed.- 8. Sensitivity of Causal Inferences to Unmeasured Biases in Treatment Assignment.- 9. Design Sensitivity and the Choice of Statistical Methods.- 10. Study Design and Design Sensitivity.- 11. Efficiency of Sensitivity Analyses.- Part IV Quasi-experimental Devices.- 12. Known Effects in Observational Studies.- 13. Evidence Factors for Two Control Groups.- 14. Tightened Blocks for Complementary Analyses.- 15. A Look Back Along the Path Taken.- Some Books and Articles About Causal Inference.- Notation.- Solutions to Selected Problems.- Some Comments for Instructors.- Index.
