Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data /

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Bibliographic Details
Author / Creator:Dupont, William D. (William Dudley), 1946-
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
Hidden Bibliographic Details
ISBN:0521820618
9780521820615
0521655781
9780521655781
0511061749
9780511061745
0511055412
9780511055416
0511070209
9780511070204
0511121164
9780511121166
9781139146098
1139146092
0511323859
9780511323850
1280162554
9781280162558
9786610162550
6610162557
Digital file characteristics:data file
Notes:Includes bibliographical references and index.
English.
Print version record.
Summary:This text will enable biomedical researchers to use several advanced statistical methods that have proven valuable in medical research. 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.
Other form:Print version: Dupont, William D. (William Dudley), 1946- Statistical modeling for biomedical researchers. Cambridge : Cambridge University Press, 2002
Description
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.
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