Sample Size Calculations in Clinical Research (Chapman & Hall/CRC Biostatistics) (Chapman & Hall/CRC Biostatistics Series)
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Product Description
This book explains how the formulas and procedures for sample size calculations can be used in a variety of clinical research and development stages. It presents real-world examples from several therapeutic areas to illustrate clinical and statistical concepts, interpretations, and interactions. The book also explores emerging topics in pharmaceutical research and development, including QT/QTc studies with time-dependent replicates and the use of propensity score analysis in nonrandomized or observational studies. This edition now provides sample size calculations for three major areas of clinical research: dose response studies, microarray studies, and Bayesian approaches.
Product Details
- Amazon Sales Rank: #763851 in Books
- Published on: 2007-08-15
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 480 pages
Editorial Reviews
From the Back Cover
Focusing on an integral part of pharmaceutical development, Sample Size Calculations in Clinical Research, Second Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. It provides sample size formulas and procedures for testing equality, noninferiority/superiority, and equivalence.
A comprehensive and unified presentation of statistical concepts and practical applications, this book highlights the interactions between clinicians and biostatisticians, includes a well-balanced summary of current and emerging clinical issues, and explores recently developed statistical methodologies for sample size calculation. Whenever possible, each chapter provides a brief history or background, regulatory requirements, statistical designs and methods for data analysis, real-world examples, future research developments, and related references.
One of the few books to systematically summarize clinical research procedures, this edition contains new chapters that focus on three key areas of this field. Incorporating the material of this book in your work will help ensure the validity and, ultimately, the success of your clinical studies.



