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Item Details
Title: CLINICAL TRIAL DATA ANALYSIS USING R
By: Ding-Geng (Din) Chen, Karl E. Peace
Format: Hardback

List price: £72.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1439840202
ISBN 13: 9781439840207
Publisher: TAYLOR & FRANCIS INC
Pub. date: 14 December, 2010
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 387
Synopsis: 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.
Illustrations: 61 black & white illustrations, 15 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
Some other items by this author:
APPLIED META-ANALYSIS WITH R
APPLIED META-ANALYSIS WITH R (HB)
APPLIED META-ANALYSIS WITH R AND STATA
BIOPHARMACEUTICAL SEQUENTIAL STATISTICAL APPLICATIONS
BIOPHARMACEUTICAL SEQUENTIAL STATISTICAL APPLICATIONS (HB)
CLINICAL TRIAL BIOSTATISTICS AND BIOPHARMACEUTICAL APPLICATIONS
CLINICAL TRIAL BIOSTATISTICS AND BIOPHARMACEUTICAL APPLICATIONS (HB)
CLINICAL TRIAL DATA ANALYSIS USING R
CLINICAL TRIAL DATA ANALYSIS USING R AND SAS
CLINICAL TRIAL DATA ANALYSIS USING R AND SAS (HB)
CLINICAL TRIAL METHODOLOGY
CLINICAL TRIAL METHODOLOGY
CLINICAL TRIAL METHODOLOGY (HB)
DATA AND SAFETY MONITORING COMMITTEES IN CLINICAL TRIALS (HB)
DESIGN AND ANALYSIS OF CLINICAL TRIALS WITH TIME-TO-EVENT ENDPOINTS
DESIGN AND ANALYSIS OF CLINICAL TRIALS WITH TIME-TO-EVENT ENDPOINTS (HB)
INNOVATIVE STATISTICAL METHODS FOR PUBLIC HEALTH DATA (HB)
INTERVAL-CENSORED TIME-TO-EVENT DATA
INTERVAL-CENSORED TIME-TO-EVENT DATA (HB)
MONTE-CARLO SIMULATION-BASED STATISTICAL MODELING (HB)
MULTIPLE TESTING ADJUSTMENT IN CLINICAL TRIALS AND GENETIC EPIDEMIOLOGY STUDIES WITH R
MULTIPLE TESTING ADJUSTMENT IN CLINICAL TRIALS AND GENETIC EPIDEMIOLOGY STUDIES WITH R (HB)
STATISTICAL ANALYSIS OF MICROBIOME DATA WITH R
STATISTICAL ANALYSIS OF MICROBIOME DATA WITH R (HB)
STATISTICAL ANALYTICS FOR HEALTH DATA SCIENCE WITH SAS AND R (HB)
STATISTICAL CAUSAL INFERENCES AND THEIR APPLICATIONS IN PUBLIC HEALTH RESEARCH (HB)
STATISTICAL ISSUES IN DRUG RESEARCH AND DEVELOPMENT (HB)
STATISTICAL META-ANALYSIS USING R AND STATA (HB)
STATISTICAL MODELING FOR DEGRADATION DATA (HB)
STATISTICAL REGRESSION MODELING WITH R
STATISTICAL REGRESSION MODELING WITH R (HB)
STRUCTURAL EQUATION MODELING USING R/SAS (HB)

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