LEADER 02600nam 2200625 a 450 001 9910141616403321 005 20180117165946.0 010 $a1-119-94228-4 010 $a1-119-94227-6 010 $a1-118-44261-X 035 $a(CKB)2670000000335599 035 $a(EBL)1118499 035 $a(OCoLC)801051995 035 $a(SSID)ssj0000831577 035 $a(PQKBManifestationID)11470847 035 $a(PQKBTitleCode)TC0000831577 035 $a(PQKBWorkID)10880894 035 $a(PQKB)11082009 035 $a(MiAaPQ)EBC1118499 035 $a(DLC) 2012029308 035 $a(PPN)191455393 035 $a(EXLCZ)992670000000335599 100 $a20120716d2013 uy 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultiple imputation and its application$b[electronic resource] /$fJames R. Carpenter and Michael G. Kenward 205 $a1st ed. 210 $aChichester, West Sussex, U.K. $cWiley$d2013 215 $a1 online resource (490 pages) : illustrations, tables 225 1 $aStatistics in Practice 225 0$aStatistics in practice 311 $a0-470-74052-3 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: Reasons for missing data Summary -- The Multiple Imputation Procedure and Its Justification -- Multiple imputation of binary and ordinal data -- Imputation of unordered categorical data -- Non-linear relationships -- Interactions -- Survival data, skips and large datasets -- Multilevel multiple imputation -- Sensitivity analysis: MI unleashed -- Including survey weights -- Robust Multiple Imputation. 330 $a"This book is written with three main aims; to provide a thorough introduction to the general MI methods, to provide a detailed discussion of the practical use of the MI method and to present real-world examples drawn from the field of biostatistics"--Provided by publisher. 410 0$aStatistics in Practice 606 $aStatistics 606 $aMultiple imputation (Statistics) 606 $aMedicine$xResearch$xStatistical methods 615 0$aStatistics. 615 0$aMultiple imputation (Statistics) 615 0$aMedicine$xResearch$xStatistical methods. 676 $a610.724 700 $aCarpenter$b James R$0755631 701 $aKenward$b Michael G.$f1956-$0102987 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141616403321 996 $aMultiple imputation and its application$92224386 997 $aUNINA