Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton :
Name of Publisher, Distributor, etc.
A Chapman and Hall Book,
Date of Publication, Distribution, etc.
[2018]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
GENERAL NOTES
Text of Note
Authors have developed a software for analyzing mathematical data, IVEware.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Basic concepts -- Descriptive statistics -- Linear models -- Generalized linear model -- Categorical data analysis -- Survival analysis -- Structural equation models -- Longitudinal data analysis -- Complex survey data analysis using BBDESIGN -- Sensitivity analysis -- Odds and ends.
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SUMMARY OR ABSTRACT
Text of Note
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.--