Author: William F. Rosenberger
Edition: 1
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN: 0471236268
Randomization in Clinical Trials: Theory and Practice (Wiley Series in Probability and Statistics)
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. Medical books Randomization in Clinical Trials. 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 Medical books Randomization in Clinical Trials: Theory and Practice. Categories: Clinical trials. Contributors: William F. Rosenberger - Author. Format: Hardcover
Download link for Randomization in Clinical Trials: Theory and Practice
Categories: Clinical trials. Contributors: William F. Rosenberger - Author. Format: Hardcover
Categories: Clinical trials. Contributors: William F. Rosenberger - Author. Format: Hardcover
The Theory of Response-Adaptive Randomization in Clinical Trials (Wiley Series in Probability and Statistics) - Feifang Hu, William F. Rosenberger
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Medical Book Randomization in Clinical Trials
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.
