MARC Record from harvard_bibliographic_metadata

LEADER: 03909cam a2200757 i 4500
001 014111885-7
005 20140808191618.0
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008 131029t20142014enka ob 001 0 eng
010 $a 2013043089
020 $a9781118762516 (electronic bk.)
020 $a1118762517 (electronic bk.)
020 $a9781118762509 (electronic bk.)
020 $a1118762509 (electronic bk.)
020 $a9781118762530 (ebook)
020 $a1118762533 (ebook)
020 $z9781118460702 (hardback)
035 0 $aocn861789127
040 $aDLC$erda$beng$cDLC$dYDX$dIDEBK$dN$T$dE7B$dYDXCP$dDG1$dCUS$dCHVBK
042 $apcc
050 14 $aR853.C55$bO34 2014
060 10 $aQV 771.4
072 7 $aHEA$x012000$2bisacsh
072 7 $aHEA$x020000$2bisacsh
072 7 $aMED$x004000$2bisacsh
072 7 $aMED$x101000$2bisacsh
072 7 $aMED$x109000$2bisacsh
072 7 $aMED$x029000$2bisacsh
072 7 $aMED$x040000$2bisacsh
072 7 $aMED$x092000$2bisacsh
082 00 $a610.72/4$223
100 1 $aO'Kelly, Michael,$eauthor.
245 10 $aClinical trials with missing data :$ba guide for practitioners /$cMichael O'Kelly, Bohdana Ratitch.
264 1 $aChichester, West Sussex, United Kingdom :$bWiley,$c2014.
300 $a1 online resource (xxvii, 439 pages) :$billustrations.
336 $atext$2rdacontent
337 $acomputer$2rdamedia
338 $aonline resource$2rdacarrier
490 1 $aStatistics in practice
504 $aIncludes bibliographical references and index.
520 $a"This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find this book invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team can work to prevent missing data, and present the reader with approaches to address missing data effectively. The book is illustrated throughout with realistic case studies and worked examples, and presents clear and concise guidelines to enable good planning for missing data. The authors show how to handle missing data in a way that is transparent and easy to understand for clinicians, regulators and patients. New developments are presented to improve the choice and implementation of primary and sensitivity analyses for missing data. Many SAS code examples are included - the reader is given a toolbox for implementing analyses under a variety of assumptions"--Provided by publisher.
588 $aDescription based on online resource; title from digital title page (viewed on April 9, 2014)
538 $aMode of access: World Wide Web.
650 2 $aBias (Epidemiology)
650 7 $aMEDICAL / Osteopathy.$2bisacsh
650 7 $aMEDICAL / Holistic Medicine.$2bisacsh
650 7 $aMEDICAL / Family & General Practice.$2bisacsh
650 7 $aMEDICAL / Essays.$2bisacsh
650 7 $aMEDICAL / Atlases.$2bisacsh
650 7 $aMEDICAL / Alternative Medicine.$2bisacsh
650 7 $aHEALTH & FITNESS / Reference.$2bisacsh
650 7 $aHEALTH & FITNESS / Holism.$2bisacsh
650 0 $aClinical trials.
650 12 $aClinical Trials as Topic.
650 4 $aClinical Trials as Topic.
650 4 $aBias (Epidemiology)
650 4 $aModels, Statistical.
650 4 $aResearch Design.
650 2 $aClinical Trials as Topic.
650 2 $aModels, Statistical.
650 2 $aResearch Design.
700 1 $aRatitch, Bohdana,$eauthor.
776 08 $iPrint version:$aO'Kelly, Michael.$tClinical trials with missing data.$dChichester, West Sussex : Wiley, 2014$z9781118460702$w(DLC) 2013041088$w(OCoLC)861470503
830 0 $aStatistics in practice.
988 $a20140710
906 $0DLC