Handbook of missing data methodology

Preliminaries Introduction and Preliminaries Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molenberghs, Geert Verbeke, and Anastasios A. TsiatisDevelopments of Methods and Critique of ad hoc Methods James R. Carpenter and Michael G. KenwardLikelihood and Bayesian Methods Introduction and Overview Michael G. Kenward, Geert Molenberghs, and Geert VerbekePerspective and Historical Overview Michael G. Kenward and Geert MolenberghsBayesian Methods Michael J. Daniels and Joseph W. HoganJoint Modeling of Longitudinal and Time-to-Event Data Dimitris RizopoulosSemi-Parametric Methods Introduction and Overview Garrett M. FitzmauriceMissing Data Methods: A Semi-Parametric Perspective Anastasios A. Tsiatis and Marie DavidianDouble-Robust Methods Andrea Rotnitzky and Stijn VansteelandtPseudo-Likelihood Methods for Incomplete Data Geert Molenberghs and Michael G. KenwardMultiple Imputation Introduction Michael G. KenwardMultiple Imputation: Perspective and Historical Overview John B. CarlinFully Conditional Specification Stef van BuurenMultilevel Multiple Imputation Harvey Goldstein and James R. CarpenterSensitivity Analysis Introduction and Overview Geert Molenberghs, Geert Verbeke, and Michael G. KenwardA Likelihood-Based Perspective Geert Verbeke, Geert Molenberghs, and Michael G. KenwardA Semi-Parametric Perspective Stijn VansteelandtBayesian Sensitivity Analysis Joseph W. Hogan, Michael J. Daniels, and Liangyuan HuSensitivity Analysis with Multiple Imputation James R. Carpenter and Michael G. KenwardThe Elicitation and Use of Expert Opinion Ian R. WhiteSpecial Topics Introduction and Overview Geert MolenberghsMissing Data in Clinical Trials Craig MallinckrodtMissing Data in Sample Surveys Thomas R. Belin and Juwon SongModel Diagnostics Dimitris Rizopoulos, Geert Molenberghs, and Geert VerbekeIndex.