Skip to content
Register Sign in Wishlist

A Biostatistics Toolbox for Data Analysis

$51.99 (P)

  • Date Published: October 2015
  • availability: In stock
  • format: Hardback
  • isbn: 9781107113084

$ 51.99 (P)
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • This sophisticated package of statistical methods is for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. It makes the link from statistical theory to data analysis, focusing on the methods and data types most common in public health and related fields. Like most toolboxes, the statistical tools in this book are organized into sections with similar objectives. Unlike most toolboxes, however, these tools are accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls - conveying skills, intuition, and experience. The only prerequisite is a first-year statistics course and familiarity with a computing package such as R, Stata, SPSS, or SAS. Though the book is not tied to a particular computing language, its figures and analyses were all created using R. Relevant R code, data sets, and links to public data sets are available from www.cambridge.org/9781107113084.

    • Statistical tools are complemented by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls
    • Students only require familiarity with a computing package such as R, Stata, SPSS, or SAS, as well as a first-year statistics course
    • Online resources include relevant R code, data sets, and links to public data sets
    Read more

    Reviews & endorsements

    "Professor Selvin is a master at making statistical procedures and their complex underpinnings accessible to students of all levels of expertise. This book is a brilliant compendium of Professor Selvin's tremendous understanding of the breadth and depth of biostatistical tools that he delivers to the reader with superb clarity. A broad range of salient statistical concepts are covered, pleasantly anchored with a brief history, described formally for the more initiated reader, and expertly illustrated with real-life data examples that are readily understood by the less mathematically inclined. Researchers from a myriad of scientific disciplines seeking masterful guidance about conducting their statistical data analysis will absolutely want this book at their fingertips."
    Gary Shaw, Stanford University, California

    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

    • Date Published: October 2015
    • format: Hardback
    • isbn: 9781107113084
    • length: 578 pages
    • dimensions: 261 x 184 x 35 mm
    • weight: 1.21kg
    • contains: 146 b/w illus. 290 tables
    • availability: In stock
  • Table of Contents

    Part I. Basics:
    1. Statistical distribution
    2. Confidence intervals
    3. A weighted average
    4. Two discrete probability functions
    5. Correlation
    Part II. Applications:
    6. The 2 x 2 table
    7. Linear bivariate regression model
    8. The 2 x k table
    9. The log-linear Poisson regression model
    10. Two-way and three-way tables analysis
    11. Bootstrap analysis
    12. Graphical analysis
    13. The variance
    14. The log-normal distribution
    15. Nonparametric analysis
    Part III. Survival:
    16. Rates
    17. Nonparametric survival analysis
    18. The Weibull survival function
    Part IV. Epidemiology:
    19. Prediction, a natural measure of performance
    20. The attributable risk summary
    21. Time/space analysis
    22. ROC curve and analysis
    Part V. Genetics:
    23. Selection: a statistical description
    24. Mendelian segregation analysis
    25. Admixed populations
    26. Nonrandom mating
    Part VI. Theory:
    27. Statistical estimation
    Part VII. R-Appendix.

  • Resources for

    A Biostatistics Toolbox for Data Analysis

    Steve Selvin

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to instructors whose faculty status has been verified. To gain access to locked resources, instructors should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other instructors may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Instructors are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact lecturers@cambridge.org.

  • Author

    Steve Selvin, University of California, Berkeley
    Steve Selvin is a Professor of Biostatistics in the School of Public Health at University of California, Berkeley and was the head of the division from 1977 to 2004. He has published over 250 papers and authored several textbooks in the fields of biostatistics and epidemiology. His book, Survival Analysis for Epidemiologic and Medical Research, was published by Cambridge University Press in 2008.

Sign In

Please sign in to access your account

Cancel

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 lecturers@cambridge.org

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 www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

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

Are you sure you want to delete your account?

This cannot be undone.

Cancel

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.
×