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Can I read Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) on EtoBox?

Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) by Michael A. Proschan, K. K. Gordan Lan, Janet Turk Wittes (auth.) is a nonfiction available to read on EtoBox.

What is Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health) about?

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. The so-called B-value approach to monitoring allows us to use, for different types of trials, the same boundaries and the same simple formula for computing conditional power. Although Brownian motion may sound complicated, the authors make the approach easy by starting with a simple example and building on it, one piece at a time, ultimately showing that Brownian motion works for many different types of clinical trials. The book will be very valuable to statisticians involved in clinical trials. The main body of the chapters is accessible to anyone with knowledge of a standard mathematical statistics text. More mathematically advanced readers will find rigorous development

Who reads Statistical Monitoring of Clinical Trials: A Unified Approach (Statistics for Biology and Health)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Michael A. Proschan, K. K. Gordan Lan, Janet Turk Wittes (auth.)
Publisher
Springer-Verlag New York
Published
2006
Language
EN
ISBN
9780387301723
Category
nonfiction
Subjects
Medical, Mathematics, Science

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