Preventing and Treating Missing Data in Longitudinal Clinical Trials
(Part of the Practical Guides to Biostatistics and Epidemiology Series)
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Book Overview
Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.
Format:Hardcover
Language:English
ISBN:1107031389
ISBN13:9781107031388
Release Date:January 2013
Publisher:Cambridge University Press
Length:180 Pages
Weight:1.10 lbs.
Dimensions:0.7" x 6.8" x 9.9"
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