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

List price: £110.00
Our price: £99.00
Discount:
10% off
You save: £11.00
ISBN 10: 1498779522
ISBN 13: 9781498779524
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS INC
Pub. date: 3 May, 2017
Edition: 2nd Revised edition
Series: Chapman & Hall/CRC Biostatistics Series
Pages: 410
Synopsis: Review of the First Edition "The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it ...The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods." -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book's practical, detailed approach draws on the authors' 30 years' experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data.What's New in the Second Edition * Adds SAS programs along with the R programs for clinical trial data analysis. * Updates all the statistical analysis with updated R packages. * Includes correlated data analysis with multivariate analysis of variance. * Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials. * Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.
Illustrations: 100 black & white illustrations
Publication: US
Imprint: Productivity Press
Returns: Returnable
Some other items by this author:
APPLIED META-ANALYSIS WITH R
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CLINICAL TRIAL BIOSTATISTICS AND BIOPHARMACEUTICAL APPLICATIONS
CLINICAL TRIAL BIOSTATISTICS AND BIOPHARMACEUTICAL APPLICATIONS (HB)
CLINICAL TRIAL DATA ANALYSIS USING R
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CLINICAL TRIAL DATA ANALYSIS USING R AND SAS
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)
MULTIPLE TESTING ADJUSTMENT IN CLINICAL TRIALS AND GENETIC EPIDEMIOLOGY STUDIES WITH R
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STATISTICAL ANALYTICS FOR HEALTH DATA SCIENCE WITH SAS AND R (HB)
STATISTICAL CAUSAL INFERENCES AND THEIR APPLICATIONS IN PUBLIC HEALTH RESEARCH (HB)
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STATISTICAL META-ANALYSIS USING R AND STATA (HB)

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