Recent Advances in Missing Data Methods: Multiple Imputation by Chained Equations Elizabeth A. Stuart Johns Hopkins Bloomberg School of Public Health Department of Mental Health Department of Biostatistics - Imputation - Document - PDFSEARCH.IO

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	Recent Advances in Missing Data Methods: Multiple Imputation by Chained Equations Elizabeth A. Stuart Johns Hopkins Bloomberg School of Public Health Department of Mental Health Department of Biostatistics Add to Reading List Document Date: 2010-06-27 13:33:12 Open Document File Size: 786,70 KB Share Result on Facebook Company MICE 4 Conclusions 5 Software / Bloomberg / / / IndustryTerm health services / / Organization Public Health Department of Mental Health Department / / ProgrammingLanguage R / / URL www.biostat.jhsph.edu/∼estuart / / SocialTag Imputation Clinical research Epidemiology AcademyHealth Health services research Data set SAS Stata Statistics Data analysis

Recent Advances in Missing Data Methods: Multiple Imputation by Chained Equations Elizabeth A. Stuart Johns Hopkins Bloomberg School of Public Health Department of Mental Health Department of BiostatisticsAdd to Reading List