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Randomization in Clinical Trials: Theory and Practice

Posted By: AvaxGenius
Randomization in Clinical Trials: Theory and Practice

Randomization in Clinical Trials: Theory and Practice by William F. Rosenberger, John M. Lachin
English | PDF | 2002 | 278 Pages | ISBN : 0471236268 | 11.4 MB

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.

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Posted By: AvaxGenius
Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms

Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms by Juraj HromkoviČ
English | PDF(True) | 2005 | 280 Pages | ISBN : 3540239499 | 2.63 MB

Randomness is a powerful phenomenon that can be harnessed to solve various problems in all areas of computer science. Randomized algorithms are often more efficient, simpler and, surprisingly, also more reliable than their deterministic counterparts. Computing tasks exist that require billions of years of computer work when solved using the fastest known deterministic algorithms, but they can be solved using randomized algorithms in a few minutes with negligible error probabilities.