000			00672nam a2200193Ia 4500
999			_c2592 _d2592
005			20190503111038.0
008			180803s9999 xx 000 0 und d
020			_a1-58488-984-7
040			_aAIKTC-KRRC _cAIKTC-KRRC
041			_aENG
082			_a615.1401513 _bDMI/TAM _2DDC23
100			_aDmitrienko, Alex _93989
245		0	_aMultiple testing problem in pharmaceutical statistics
250			_a1st
260			_aNA _bCRC Press _c2010
300			_a304, 24*16.1 Pages _bPaperback
520			_aBringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter, the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings. The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials, before giving an overview of the concepts, principles, and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses, the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies, taking into account the numerous multiplicity issues that occur. This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology, along with examples and software code to show how to use the methods in practice.
650		0	_94639 _aPHARMACEUTICS
700			_aTamhane, Ajit C.Bretz, Frank _93990
856			_uhttps://ndl.iitkgp.ac.in/result?q={%22t%22:%22search%22,%22k%22:%22pharmaceutics%22,%22s%22:[%22DDC=\%22600%3A%3ATechnology\%22%22],%22b%22:{%22filters%22:[]}}
942			_cBK _2ddc