Statistical Modeling for Biomedical Researchers
A Simple Introduction to the Analysis of Complex Data 2nd Revised edition
By (author) William D. Dupont
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Statistical Modeling for Biomedical Researchers by William D. Dupont
Book DescriptionThe second edition of this standard text guides biomedical researchers 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 again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. 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 at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.
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Book DetailsISBN: 9780521614801
(247mm x 174mm x 28mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 12-Feb-2009
Country of Publication: United Kingdom
Books By Author William D. Dupont
Statistical Modeling for Biomedical Researchers, Hardback (February 2009)» View all books by William D. Dupont
A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.
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Author Biography - William D. Dupont
Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.
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