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Multiple Imputation in Practice

Trivellore Raghunathan | Patricia A. Berglund | Peter W. Solenberger
€93.99
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A01=Patricia A. Berglund
A01=Peter W. Solenberger
A01=Trivellore Raghunathan
advanced data analysis
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Age Group_Uncategorized
Author_Patricia A. Berglund
Author_Peter W. Solenberger
Author_Trivellore Raghunathan
automatic-update
categorical variable modeling
Category1=Non-Fiction
Category=JMB
Category=PBT
Censor Variable
Complex Sample Design Features
COP=United States
CRC Press Website
Data Set
Data Sets
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Head Wages
Imputation Model
Impute Missing Data
Imputed Data Sets
Language_English
Log Linear Model
longitudinal studies
MAR Assumption
Missing Data
Missing Data Mechanisms
missing data solutions in research
Missing Values
Multinomial Logistic Regression
Multiple Imputation
Ods Output ParameterEstimates
PA=Available
Patricia A. Berglund
Pattern Mixture Model
Peter W. Solenberger
Price_€50 to €100
PROC CATMOD
PROC MIANALYZE
Proc Print Data
Proc Sgplot Data
PS=Active
R
Regression Model
sas
SAS Data Set
SEM Model
sequental regression
softlaunch
spss
stata
statistical inference
survey methodology
survival analysis techniques

Product details

  • ISBN 9781498770163
  • Weight: 532g
  • Dimensions: 156 x 234mm
  • Publication Date: 12 Jul 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Description

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.

About Patricia A. Berglund | Peter W. Solenberger | Trivellore Raghunathan
Trivellore Raghunathan is the director of the Survey Research Center in the Institute for Social Research and professor of biostatistics in the School of Public Health at the University of Michigan. He has published numerous papers in a range of statistical and public health journals. His research interests include applied regression analysis, linear models, design of experiments, sample survey methods, and Bayesian inference. Patricia A. Berglund is a senior research associate in the Youth and Social Indicators Program and Survey Methodology Program in the Survey Research Center at the University of Michigan’s Institute for Social Research.    

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