Statistical Monitoring of Clinical Trials

A Unified Approach
 Previously published in hardcover
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All three of this work's authors are experts in adaptive methodology for clinical trials. Here, they offer an accessible, incremental approach to understanding Brownian motion as related to clinical trials that will develop insight into not only monitoring, but many other statistical issues germane to clinical trials.
Introduction.- A General Framework.- Power: Conditional, Unconditional, and Predictive.- Historical Monitoring Boundaries.- Spending Functions.- Practical Survival Monitoring.- Inference Following A Group-Sequential Trial.- Options When Brownian Motion Does Not Hold.- Monitoring for Safety.- Bayesian Monitoring.- Adaptive Sample Size Methods.- Topics Not Covered.
The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically normal, this book shows that the joint distribution of the test statistics at different analysis times is asymptotically multivariate normal with the correlation structure of Brownian motion ("the B-value") - irrespective of the test statistic. Thus, this book offers statisticians an accessible, incremental approach to understanding Brownian motion as related to clinical trials.

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Autor: K. K. Gordon Lan
ISBN-13 :: 9781441921345
ISBN: 1441921346
Erscheinungsjahr: 19.11.2010
Verlag: Springer New York
Gewicht: 415g
Seiten: 272
Sprache: Englisch
Auflage Softcover reprint of hardcover 1st ed. 2006
Sonstiges: Taschenbuch, 235x155x14 mm
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