Clinical Trial Data Analysis Using R (Chapman & Hall...

Clinical Trial Data Analysis Using R (Chapman & Hall CRC Biostatistics Series)

Din Chen, Karl E. Peace
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Too 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.
Rok:
2010
Wydanie:
1
Wydawnictwo:
CRC Press
Język:
english
Strony:
381
ISBN 10:
1439840202
ISBN 13:
9781439840207
Serie:
Chapman & Hall CRC Biostatistics Series
Plik:
PDF, 4.71 MB
IPFS:
CID , CID Blake2b
english, 2010
Ściągnij (pdf, 4.71 MB)
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