Fitzmaurice G.M., Kenward M.G., Molenberghs G., Tsiatis A.A., Verbeke G. (eds.) Handbook of Missing Data Methodology

N.-Y.: CRC Press, 2014. — 600 p.Introduction and preliminaries
Developments of methods and critique of ad hoc methodsIntroduction and overview
Perspective and historical overview
Bayesian methods
Joint modeling of longitudinal and time-to-event dataIntroduction and overview
Missing data methods: a semi-parametric perspective
Double-robust methods
Pseudo-likelihood methods for incomplete dataMultiple imputation: perspective and historical overview
Fully conditional specification
Multilevel multiple imputationIntroduction and overview
A likelihood-based perspective
A semi-parametric perspective
Bayesian sensitivity analysis
Sensitivity analysis with multiple imputation
The elicitation and use of expert opinionIntroduction and overview
Missing data in clinical trials
Missing data in sample surveys
Model diagnostics