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Statistical Modeling for Biomedical Researchers

A Simple Introduction to the Analysis of Complex Data

Statistical Modeling for Biomedical Researchers by William D. Dupont
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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.
Cambridge University Press; November 2002
406 pages; ISBN 9780511055416
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Title: Statistical Modeling for Biomedical Researchers
Author: William D. Dupont
 
ISBNs
0511055412
9780511055416
9780521820615