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Missing Data Analysis in Practice

By Trivellore Raghunathan

Chapman and Hall/CRC – 2015 – 275 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Purchasing Options:

  • Hardback: $79.95
    978-1-48-221192-4
    October 15th 2015
    Not yet available

Description

This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of datasets used to illustrate the key aspects. The datasets are taken from randomized trials, observational studies, and sample surveys. Keeping theoretical details to a minimum, the book is suitable for practitioners with only basic knowledge of statistics. The author’s SAS-based software, which can be used for all the examples, is available online.

Contents

Introduction. Weighting. Imputation. Multiple Imputation. Parametric Model-Based Imputation. Nonparametric Imputations. Sequential Regression. Multiple Imputation Diagnostics. Missing Data in Longitudinal Studies. Maximum Likelihood Approach. Non-Ignorable Models. Multiple Imputation for Complex Surveys. Other Applications of Multiple Imputation.

Name: Missing Data Analysis in Practice (Hardback)Chapman and Hall/CRC 
Description: By Trivellore Raghunathan. This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of datasets used to illustrate the key aspects. The datasets...
Categories: Statistical Theory & Methods, Statistics for the Biological Sciences, Psychological Methods & Statistics