Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data, Part 938

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Cambridge University Press, Nov 28, 2002 - Medical - 386 pages
This text enables biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research, and uses a statistical software package (Stata® ) to avoid mathematics beyond the high school level. Intended for people who have had an introductory course in biostatistics, the volume emphasizes the assumptions underlying each method, using exploratory techniques to determine the most appropriate method. It presents results in a way that will be readily understood by clinical colleagues. Numerous real examples from medical literature and graphical methods are used to illustrate these techniques.
 

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Contents

Simple Linear Regression
34
Multiple Linear Regression
72
Simple Logistic Regression
108
Multiple Logistic Regression 1435
143
Hazard Regression Analysis
228
Ragged Entry
256
Inferences
269
Multiple Poisson Regression
295
Fixed Effects Analysis of Variance
320
RepeatedMeasures Analysis of Variance
338
Using GEE
362
Summary of Stata Commands Used in this Text
369
References
378
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About the author (2002)

Educated at McGill University, and the Johns Hopkins University, Bill Dupont is presently Professor and Director of the Division of Biostatistics at Vanderbilt University School of Medicine. He is best known for his work on the epidemiology of breast cancer, but has also published papers on power calculations, the estimation of animal abundance, the foundations of statistical inference, and other topics.

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