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Randomization In Clinical Trials Theory And Practice 2002 Edition at Meripustak

Randomization In Clinical Trials Theory And Practice 2002 Edition by William F. Rosenberger, John M. Lachin , John Wiley And Sons Ltd

Books from same Author: William F. Rosenberger, John M. Lachin

Books from same Publisher: John Wiley And Sons Ltd

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  • General Information  
    Author(s)William F. Rosenberger, John M. Lachin
    PublisherJohn Wiley And Sons Ltd
    ISBN9780471236269
    Pages288
    BindingHardbound
    Language English
    Publish YearJuly 2002

    Description

    John Wiley And Sons Ltd Randomization In Clinical Trials Theory And Practice 2002 Edition by William F. Rosenberger, John M. Lachin

    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.



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