Clinical Trial Data Analysis Using R (chapman & Hall/crc Biostatistics Series)
by Din Chen /
2010 / English / PDF
4.7 MB Download
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,
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
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.
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.
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.
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.