Skip to content

Your Cart


You have 0 items in your cart.

Register Sign in Wishlist

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

2nd Edition


  • Date Published: February 2009
  • availability: Available
  • format: Paperback
  • isbn: 9780521614801

£ 54.99

Add to cart Add to wishlist

Other available formats:
Hardback, eBook

Looking for an inspection copy?

This title is not currently available on inspection

Product filter button
About the Authors
  • 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

    • Explains sophisticated biostatistical methods without the need for an understanding of complex mathematics
    • Includes extensive use of real illustrative examples from the medical literature
    • Provides guidance on the clear presentation of results in a format that will be clear to clinical colleagues
    Read more

    Reviews & endorsements

    '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

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Edition: 2nd Edition
    • Date Published: February 2009
    • format: Paperback
    • isbn: 9780521614801
    • length: 544 pages
    • dimensions: 246 x 175 x 25 mm
    • weight: 1.04kg
    • contains: 71 b/w illus. 48 tables
    • availability: Available
  • Table of Contents

    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

  • Resources for

    Statistical Modeling for Biomedical Researchers

    William D. Dupont

    General Resources

    Welcome to the resources site

    Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    *This title has one or more locked files and access is given only to lecturers adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email

  • Author

    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.

related journals

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.