Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data /
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Author / Creator: | Dupont, William D. (William Dudley), 1946- |
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Imprint: | Cambridge : Cambridge University Press, 2002. |
Description: | 1 online resource (xvii, 386 pages) : illustrations |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11144827 |
Summary: | This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject. |
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Physical Description: | 1 online resource (xvii, 386 pages) : illustrations |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 0521820618 9780521820615 0521655781 9780521655781 0511061749 9780511061745 0511055412 9780511055416 0511070209 9780511070204 0511121164 9780511121166 9781139146098 1139146092 0511323859 9780511323850 1280162554 9781280162558 9786610162550 6610162557 |