Multiple Imputation in Practice

<p><strong>Multiple Imputation in Practice: With Examples Using IVEware</strong> 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. </p><p></p><p>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. </p><p></p><p>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. </p>