000			02354 a2200277 4500
001			135808
003			ISI Library, Kolkata
005			20150602124309.0
008			150429b xxu||||| |||| 00| 0 eng d
020			_a9781118460702
040			_aISI Library
082	0	0	_a000SB:610.724 _223 _bOk41
100	1		_aO'Kelly, Michael.
245	1	0	_aClinical trials with missing data : _ba guide for practitioners / _cMichael O'Kelly and Bohdana Ratitch.
260			_aChiester : _bJohn Wiley, _cc2014.
300			_axxvii, 439 p. : _bill. ; _c24 cm.
490	0		_aStatistics in practice
504			_aIncludes bibliographical references and index.
505	0		_a1. What's the problem with missing data?-- 2. The prevention of missing data-- 3. Regulatory guidance-a quick tour-- 4. A guide to planning for missing data-- 5. Mixed models for repeated measures using categorical time effects (MMRM)-- 6. Multiple imputation-- 7. Analyses under missing-not-at-random assumptions-- 8. Doubly robust estimation-- Bibliography-- 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.
650		0	_a Clinical trials.
650		0	_aClinical Trials as Topic.
650		0	_aBias (Epidemiology)
700	1		_aRatitch, Bohdana.
942			_2ddc _cBK
999			_c418704 _d418704