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  • Hardback: $99.95
    978-1-43-985461-7
    January 15th 2015
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Description

Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers historical developments, Bayesian and likelihood methods, semiparametric methods, multiple imputation, sensitivity analysis, and other special topics. Accessible to graduate students and researchers, each chapter provides sufficient background material, worked examples, case studies, and software, where applicable.

Contents

Preliminaries. Likelihood and Bayesian Methods, Semiparametric Methods. Multiple Imputation. Sensitivity Analysis.

Name: Handbook of Missing Data Methodology (Hardback)Chapman and Hall/CRC 
Description: By Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke. Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers historical developments, Bayesian and likelihood methods,...
Categories: Quantitative Methods, Regression Analysis and Multivariate Statistics, Statistics for the Biological Sciences, Statistical Theory & Methods