Multiple Imputation in Practice

With Examples Using IVEware

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Multiple Imputation in Practice by Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger, CRC Press
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Author: Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger ISBN: 9781351650311
Publisher: CRC Press Publication: July 20, 2018
Imprint: Chapman and Hall/CRC Language: English
Author: Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger
ISBN: 9781351650311
Publisher: CRC Press
Publication: July 20, 2018
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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