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Randomization in Clinical Trials: Theory and Practice, by William F. Rosenberger, John M. Lachin
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A unique overview that melds the concepts of conditional probability and stochastic processes into real-life applications
The role of randomization techniques in clinical trials has become increasingly important. This comprehensive guide combines both the applied aspects of randomization in clinical trials with a probabilistic treatment of properties of randomization. Taking an unabashedly non-Bayesian and nonparametric approach to inference, the book focuses on the linear rank test under a randomization model, with added discussion on likelihood-based inference as it relates to sufficiency and ancillarity. Developments in stochastic processes and applied probability are also given where appropriate. Intuition is stressed over mathematics, but not without a clear development of the latter in the context of the former.
Providing a consolidated review of the field, the book includes relevant and practical discussions of:
* The benefits of randomization in terms of reduction of bias
* Randomization as a basis for inference
* Covariate-adaptive and response-adaptive randomization
* Current philosophies, controversies, and new developments
With ample problem sets, theoretical exercises, and short computer simulations using SAS, Randomization in Clinical Trials: Theory and Practice is equally useful as a standard textbook in biostatistics graduate programs as well as a reliable reference for biostatisticians in practice.
- Sales Rank: #2755233 in Books
- Color: Blue
- Published on: 2002-07-11
- Original language: English
- Number of items: 1
- Dimensions: 9.53" h x .73" w x 6.36" l, 1.17 pounds
- Binding: Hardcover
- 288 pages
Review
"…excellent for learning on how to use randomization ideas…" (Journal of Statistical Computation & Simulation, May 2004)
"This book is one of the first to devote a substantial part of its content to the theory and practice of the techniques of response-adaptive design in the context of randomized clinical trials." (Apria Healthcare)
"...should be very useful in graduate courses...a valuable reference work..." (Short Book Reviews, 2004)
"All medical statisticians involved in clinical trials should read this book...." (Controlled Clinical Trials)
“..combines the applied aspects of randomization in clinical trials with a probabilistic treatment of properties of randomization...” (Quarterly of Applied Mathematics, Vol. LXI, No. 2, June 2003)
From the Back Cover
Winner of the 2002 Associaton of American Publishers Professional/Scholarly Publishing Division Award
The role of randomization techniques in clinical trials has become increasingly important. This comprehensive guide combines both the applied aspects of randomization in clinical trials with a probabilistic treatment of properties of randomization. Taking an unabashedly non-Bayesian and nonparametric approach to inference, the book focuses on the linear rank test under a randomization model, with added discussion on likelihood-based inference as it relates to sufficiency and ancillarity. Developments in stochastic processes and applied probability are also given where appropriate. Intuition is stressed over mathematics, but not without a clear development of the latter in the context of the former.
Providing a consolidated review of the field, the book includes relevant and practical discussions of:
- The benefits of randomization in terms of reduction of bias
- Randomization as a basis for inference
- Covariate-adaptive and response-adaptive randomization
- Current philosophies, controversies, and new developments
With ample problem sets, theoretical exercises, and short computer simulations using SAS, Randomization in Clinical Trials: Theory and Practice is equally useful as a standard textbook in biostatistics graduate programs as well as a reliable reference for biostatisticians in practice.
About the Author
WILLIAM F. ROSENBERGER is an associate professor (with tenure) of mathematics and statistics at The University of Maryland, Baltimore County. He is also an adjunct associate professor of epidemiology and preventive medicine at the University of Maryland School of Medicine. He serves as a biostatistical consultant on several clinical trials data and safety monitoring boards for the NIH, VA, and industry. He received his PhD in mathematical statistics from The George Washington University.
JOHN M. LACHIN III is presently Professor of Biostatistics and Epidemiology, and of Statistics, at The George Washington University. He holds a ScD in biostatistics from the University of Pittsburgh. He also serves as Director of the Graduate Program in Biostatistics and as Director of the Coordinating Center for two nationwide studies in diabetes.
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