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

Dupont, William D.

ISBN 10: 0521655781 / ISBN 13: 9780521655781

Published by Cambridge University Press, 2003

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

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Bibliographic Details

• Title: Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data
• Publisher: Cambridge University Press
• Publication Date: 2003
• Language: English
• ISBN 10: 0521655781
• ISBN 13: 9780521655781
• Binding: Soft cover
• Condition: good

About this title

Synopsis

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.

About the Author

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.