Handbook of Missing Data Methodology (Hardcover)

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