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008			160824s2021 flua b 001 0 eng
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040			_aDLC _beng _cDLC _erda _dDLC
082	0	0	_a610.727 _222 _bCHA
100	1		_aChen, Ding-Geng, _eauthor. _968892
245	1	0	_aApplied meta-analysis with R / _cDing-Geng (Din) Chen, Karl E. Peace.
264		1	_aBoca Raton : _bCRC Press/Taylor & Francis Group, _c2021
300			_axxxii, 3424pages : _billustrations ; _c24 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	0		_aChapman & Hall/CRC biostatistics series
504			_aIncludes bibliographical references (pages 305-313) and index.
520			_a"Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this book. In this book we provide a thorough presentation of meta-analysis with detailed step-by-step illustrations on their implementation using R. In each chapter, examples of real studies compiled from the literature and scienti c publications are presented. After presenting the data and sufficient background to permit understanding the application, various meta-analysis methods appropriate for analyzing data are identi ed. Then analysis code is developed using appropriate R packages and functions to meta-analyze the data. Analysis code development and results are presented in a stepwise fashion. This stepwise approach should enable readers to follow the logic and gain an understanding of the analysis methods and the R implementation so that they may use R and the steps in this book to analyze their own meta-data. Based on their experience in biostatistical research and teaching biostatistical meta-analysis, the authors understand that there are gaps between developed statistical methods and applications of statistical methods by students and practitioners. This book is intended to ll this gap by illustrating the implementation of statistical mata-analysis methods using R applied to real data following a step-by-step presentation style. With this style, the book is suitable as a text for a course in meta-data analysis at the graduate level (Master's or Doctorate's), particularly for students seeking degrees in statistics or biostatistics"-- _cProvided by publisher.
650		0	_aMeta-analysis. _968893
650		0	_aR (Computer program language) _968894
650		7	_aMATHEMATICS / Probability & Statistics / General. _2bisacsh _968895
650		7	_aMEDICAL / Pharmacology. _2bisacsh _968896
700	1		_aPeace, Karl E., _d1941- _eauthor. _968897
856	4	2	_3Cover image _uhttp://images.tandf.co.uk/common/jackets/websmall/978146650/9781466505995.jpg
942			_2ddc _cBK
999			_c86836 _d86836