Handbook of Missing Data Methodology 论文

摘要

Preliminaries Introduction and Preliminaries Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molenberghs, Geert Verbeke, and Anastasios A. Tsiatis Developments of Methods and Critique of ad hoc Methods James R. Carpenter and Michael G. Kenward Likelihood and Bayesian Methods Introduction and Overview Michael G. Kenward, Geert Molenberghs, and Geert Verbeke Perspective and Historical Overview Michael G. Kenward and Geert Molenberghs Bayesian Methods Michael J. Daniels and Joseph W. Hogan Joint Modeling of Longitudinal and Time-to-Event Data Dimitris Rizopoulos Semi-Parametric Methods Introduction and Overview Garrett M. Fitzmaurice Missing Data Methods: A Semi-Parametric Perspective Anastasios A. Tsiatis and Marie Davidian Double-Robust Methods Andrea Rotnitzky and Stijn Vansteelandt Pseudo-Likelihood Methods for Incomplete Data Geert Molenberghs and Michael G. Kenward Multiple Imputation Introduction Michael G. Kenward Multiple Imputation: Perspective and Historical Overview John B. Carlin Fully Conditional Specification Stef van Buuren Multilevel Multiple Imputation Harvey Goldstein and James R. Carpenter Sensitivity Analysis Introduction and Overview Geert Molenberghs, Geert Verbeke, and Michael G. Kenward A Likelihood-Based Perspective Geert Verbeke, Geert Molenberghs, and Michael G. Kenward A Semi-Parametric Perspective Stijn Vansteelandt Bayesian Sensitivity Analysis Joseph W. Hogan, Michael J. Daniels, and Liangyuan Hu Sensitivity Analysis with Multiple Imputation James R. Carpenter and Michael G. Kenward The Elicitation and Use of Expert Opinion Ian R. White Special Topics Introduction and Overview Geert Molenberghs Missing Data in Clinical Trials Craig Mallinckrodt Missing Data in Sample Surveys Thomas R. Belin and Juwon Song Model Diagnostics Dimitris Rizopoulos, Geert Molenberghs, and Geert Verbeke Index