| Randomization in Clinical Tria Contributor(s): Rosenberger (Author), Lachin (Author) |
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ISBN: 0471236268 ISBN-13: 9780471236269 Publisher: John Wiley & Sons OUR PRICE: $156.75 Product Type: Hardcover - Other Formats Published: June 2002 Annotation: 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:
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. |
| Additional Information |
| BISAC Categories: - Medical | Biostatistics - Medical | Research - Mathematics | Probability & Statistics - General |
| Dewey: 615.507 |
| LCCN: 2002512482 |
| Series: Wiley Series in Probability and Statistics |
| Physical Information: 0.75" H x 6.26" W x 9.56" (1.17 lbs) 288 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |