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For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is used to perform the analyses, in this edition employing the intuitive version 10.
Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available online through Vanderbilt University.
- Sales Rank: #425870 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2009-02-23
- Released on: 2009-02-12
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x 1.10" w x 6.85" l, 2.30 pounds
- Binding: Paperback
- 544 pages
- Used Book in Good Condition
Review
"This is a welcome edition of Dupont's book. The topics are comprehensive and well developed."
Ray Hoffmann, The Medical College of Wisconsin for the Teaching Statistics in Health Sciences Newsletter
"Although readers without prior training in biostatistics may benefit from the book, those with knowledge of introductory statistics would definitely benefit more. Traditional biomedical researchers may have a bit of difficulty in understanding some complex concepts without further communication with biostatisticians. Thus, this is an ideal textbook for non-biostatistics graduate students for learning advanced biostatistics. It also serves as a good reference for biostatisticians in collaborative work."
Doody's Review Service
"an excellent training and reference tool for young (as well as experienced) epidemiologic and biomedical researchers. It provides a comprehensive overview of traditional and novel approaches to model and interpret complex clinical, epidemiologic, and biomedical databases. In addition, an excellent and popular statistical package (Stata), widely used in the epidemiologic research population, is presented and demonstrated by using real data sets."
Stanley P. Azen, American Journal of Epidemiology
About the Author
Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Very useful during statistics class
By KC
I used this book as the text for a biostatistics class that used STATA as the statistitical package. I found the organization, problems, and the STATA output the book provides, all very helpful. In addition, as I moved systematically through the book, the tips regarding using the STATA features were key to my learning many of the practical aspects of the STATA program.
2 of 2 people found the following review helpful.
Accessible Intermediate Text
By kthdimension
Dupont's "Statistical Modeling for Biomedical Researchers" is an accessible, straightforward, easy-to-read text for students and/or researchers w/ some elementary background in biostatistics. As previous reviewers have indicated, this is largely a problem-based text, so for those of you who seek a detailed theoretical explanation of the tools presented therein, you may want to look elsewhere. A major advantage, however, is Dupont's presentation of how to run the respective analyses using the statistical software package, Stata, although it should be noted that the syntax presented is for version 7 of Stata -- not version 8. Parenthetically, all of the code -- w/ the exception of the graphing commands -- are essentially the same between versions. In short, this text is a good introduction to some of the techniques typically not discussed in an elementary biostatistics course, although the book is best characterized as an invaluable adjunct to more theoretical, comprehensive biostatistics textbooks.
2 of 2 people found the following review helpful.
Useful in conjuction with the manuals
By C. Paul Lee
As a non-statistician with some stat background, I find Dupont book a delightful book. It is packed with interesting and useful information. It starts at t-test and ends with GEE models, covering Cox model with time covariates along the way. But as the author noted, the book assumes some statistical knowledge and access to STATA maual. One minor note: While the book introduction asserts that it only assumes "high school mathematics" knowldege, the high school the author attended must be very different than the one I went to.
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