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Is adaptive randomization all the time higher than conventional fastened-schedule randomization? Which procedures ought to be used and beneath which circumstances? What particular issues are required for adaptive randomized trials? What sort of statistical inference ought to be used to realize legitimate and unbiased remedy comparisons following adaptive randomization designs?
Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects solutions these questions and extra.
From novel designs to slicing-edge purposes, this book presents a number of new and key developments in adaptive randomization. It additionally provides a recent and essential take a look at a lot of already-classical subjects.
That includes contributions from statisticians, medical trialists, and topic-matter specialists in academia and the pharmaceutical business, the textual content:
Clarifies the taxonomy of the idea of adaptive randomization
Discusses restricted, covariate-adaptive, response-adaptive, and covariate-adjusted response-adaptive (CARA) randomization designs, in addition to randomized designs with remedy choice
Provides an exposition to many novel adaptive randomization methods resembling brick tunnel randomization, focused least absolute shrinkage and choice operator (LASSO)-based mostly CARA randomization, multi-arm multi-stage (MAMS) designs, to call a couple of
Addresses the problems of statistical inference following covariate-adaptive and response-adaptive randomization designs
Describes a profitable implementation of a single pivotal part II/III adaptive trial in infants with proliferating hemangioma
Explores some sensible points of part II dose-ranging research and examines statistical monitoring and interim evaluation points in response-adaptive randomized medical trials
Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects covers a large spectrum of subjects associated to adaptive randomization designs in modern medical trials. The book supplies a radical exploration of the deserves of adaptive randomization and aids in figuring out when it is acceptable to use such designs in follow.
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