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OverviewToo often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the statistical methods using R. The book s practical, detailed approach draws on the authors 30 years of real-world experience in biostatistical research and clinical development. Each chapter presents examples of clinical trials based on the authors actual experiences in clinical drug development. Various biostatistical methods for analyzing the data are then identified. The authors develop analysis code step by step using appropriate R packages and functions. This approach enables readers to gain an understanding of the analysis methods and R implementation so that they can use R to analyze their own clinical trial data. With step-by-step illustrations of R implementations, this book shows how to easily use R to simulate and analyze data from a clinical trial. It describes numerous up-to-date statistical methods and offers sound guidance on the processes involved in clinical trials. Full Product DetailsAuthor: Din Chen , Karl E Peace (Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, USA)Publisher: CRC Press Imprint: CRC Press ISBN: 9781322613093ISBN 10: 1322613095 Pages: 384 Publication Date: 01 January 2010 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |