Multiple Imputation in Practice: With Examples Using IVEware

1st Edition

Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger

Chapman and Hall/CRC
Published July 12, 2018
Reference - 250 Pages - 16 B/W Illustrations
ISBN 9781498770163 - CAT# K29340

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Features

  • Detailed examples of IVEware for multiple imputation of missing data using the Sequential Regression method
  • Analysis of imputed data sets using combining rules for standard data sets and those derived from complex sample surveys (using design-based and Approximate Bayesian Bootstap methods)
  • Analysis techniques covered include descriptive statistics, linear/generalized linear regression, categorical data analysis, survival analysis, structural equation models, longitudinal data analysis, complex survey data, sensitivity analysis, and other applications of the multiple imputation framework
  • Suggested readings and exercises are included in each chapter for additional study and practice
  • Codes are included in the book, and also available at www.iveware.org.

Summary

Multiple Imputation in Practice: With Examples Using IVEware provides practical guidance on multiple imputation analysis, from simple to complex problems using real and simulated data sets. Data sets from cross-sectional, retrospective, prospective and longitudinal studies, randomized clinical trials, complex sample surveys are used to illustrate both simple, and complex analyses.

Version 0.3 of IVEware, the software developed by the University of Michigan, is used to illustrate analyses. IVEware can multiply impute missing values, analyze multiply imputed data sets, incorporate complex sample design features, and be used for other statistical analyses framed as missing data problems. IVEware can be used under Windows, Linux, and Mac, and with software packages like SAS, SPSS, Stata, and R, or as a stand-alone tool.

This book will be helpful to researchers looking for guidance on the use of multiple imputation to address missing data problems, along with examples of correct analysis techniques.

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