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Statistical Modeling for Biomedical Researchers William D. Dupont (Vanderbilt University, Tennessee)

Statistical Modeling for Biomedical Researchers By William D. Dupont (Vanderbilt University, Tennessee)

Statistical Modeling for Biomedical Researchers by William D. Dupont (Vanderbilt University, Tennessee)


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Summary

The 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.

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Statistical Modeling for Biomedical Researchers Summary

Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data by William D. Dupont (Vanderbilt University, Tennessee)

The 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/.

Statistical Modeling for Biomedical Researchers Reviews

'This is a welcome second edition of Dupont's book. It incorporates the changes in the STATA 10 command language that are designed to have a more uniform format across models. It also teaches how to look at the data with graphs, a very important part of teaching statistical data analysis to non-statisticians (and biostatistics graduate students!). This is one of the strengths of STATA and it is good to make use of it in a text. The topics are comprehensive and well developed. Moreover, this book will never get hidden on your desk or bookshelf. The shocking pink cover makes it stand out from almost any other book I have.' Teaching of Statistics in the Health Sciences
'With Stata, the author meets the demands of researchers who want to understand the methods without dipping into sophisticated mathematics. ... Although readers without prior training in biostatistics may benefit from the book, those with knowledge of introductory statistics would definitely benefit more. ... 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 Book Review
'...the second edition of this book is 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.' Stanley P. Azen, University of Southern California

About William D. Dupont (Vanderbilt University, Tennessee)

Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.

Table of Contents

Preface; 1. Introduction; 2. Simple linear regression; 3. Multiple linear regression; 4. Simple logistic regression; 5. Multiple logistic regression; 6. Introduction to survival analysis; 7. Hazard regression analysis; 8. Introduction to Poisson regression; 9. Multiple Poisson regression; 10. Fixed effects analysis of variance; 11. Repeated-measures analysis of variance; Appendix A. Summary of statistical models discussed in this text; Appendix B. Summary of Stata commands used in this text; References.

Additional information

CIN0521614805VG
9780521614801
0521614805
Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data by William D. Dupont (Vanderbilt University, Tennessee)
Used - Very Good
Paperback
Cambridge University Press
20090212
544
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Statistical Modeling for Biomedical Researchers