Search Books

Statistical Design and Analysis of Clinical Trials: Principles and Methods (Chapman & Hall/CRC Biostatistics Series)

Author Weichung Joe Shih, Joseph Aisner
Publisher Chapman and Hall/CRC
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
65.19 79.95 USD
🛒 Buy New on Amazon 🇺🇸 🏷 Buy Used — $69.92

✓ Usually ships in 24 hours

Share:
Book Details
ISBN / ASIN1482250497
ISBN-139781482250497
AvailabilityUsually ships in 24 hours
Sales Rank1,351,202
MarketplaceUnited States 🇺🇸

Description

Statistical Design and Analysis of Clinical Trials: Principles and Methods concentrates on the biostatistics component of clinical trials. Developed from the authors courses taught to public health and medical students, residents, and fellows during the past 15 years, the text shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods.

Teach Your Students How to Design, Monitor, and Analyze Clinical Trials

The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials, covering monitoring safety, futility, and efficacy. The authors also discuss the development of sample size reestimation and adaptive group sequential procedures, explain the concept of different missing data processes, and describe how to analyze incomplete data by proper multiple imputations.

Turn Your Students into Better Clinical Trial Investigators

This text reflects the academic research, commercial development, and public health aspects of clinical trials. It gives students a multidisciplinary understanding of the concepts and techniques involved in designing and analyzing various types of trials. The book s balanced set of homework assignments and in-class exercises are appropriate for students in (bio)statistics, epidemiology, medicine, pharmacy, and public health.