Statistical Causal Inferences and Their Applications in Public Health Research

519.5

Statistical Causal Inferences and Their Applications in Public Health Research edited by Hua He, Pan Wu, Ding-Geng (Din) Chen. -
XV, 321 p. 24 illus., 11 illus. in color. online resource. - (ICSA Book Series in Statistics, ) Content notes : Part I. Overview -- 1. Causal Inference – A Statistical Paradigm for Inferring Causality -- Part II. Propensity Score Method for Causal Inference -- 2. Overview of Propensity Score Methods -- 3. Sufficient Covariate, Propensity Variable and Doubly Robust Estimation -- 4. A Robustness Index of Propensity Score Estimation to Uncontrolled Confounders -- 5. Missing Confounder Data in Propensity Score Methods for Causal Inference -- 6. Propensity Score Modeling & Evaluation -- 7. Overcoming the Computing Barriers in Statistical Causal Inference -- Part III. Causal Inference in Randomized Clinical Studies -- 8. Semiparametric Theory and Empirical Processes in Causal Inference -- 9. Structural Nested Models for Cluster-Randomized Trials -- 10. Causal Models for Randomized Trials with Continuous Compliance -- 11. Causal Ensembles for Evaluating the Effect of Delayed Switch to Second-line Antiretroviral Regimens -- 12. Structural Functional Response Models for Complex Intervention Trials -- Part IV. Structural Equation Models for Mediation Analysis -- 13.Identification of Causal Mediation Models with An Unobserved Pre-treatment Confounder -- 14. A Comparison of Potential Outcome Approaches for Assessing Causal Mediation -- 15. Causal Mediation Analysis Using Structure Equation Models. . 9783319412597 * Statistics. Statistical methods. Statistics for Life Sciences, Medicine, Health Sciences. Biostatistics. Public Health. * He, Hua., edt, http://id.loc.gov/vocabulary/relators/edtWu, Pan., edt, http://id.loc.gov/vocabulary/relators/edtChen, Ding-Geng (Din)., edt, http://id.loc.gov/vocabulary/relators/edt * Title * Series