Statistical Methods And Reasoning For The Clinical Sciences

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Introduction to Statistical Methods for Clinical Trials

Introduction to Statistical Methods for Clinical Trials
Author :
Publisher : CRC Press
Total Pages : 465
Release :
ISBN-10 : 9781584880271
ISBN-13 : 1584880279
Rating : 4/5 (279 Downloads)

Book Synopsis Introduction to Statistical Methods for Clinical Trials by : Thomas D. Cook

Download or read book Introduction to Statistical Methods for Clinical Trials written by Thomas D. Cook and published by CRC Press. This book was released on 2007-11-19 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.


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