Other available formats:
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
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.Read more
- 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
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
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: October 2015
- format: Hardback
- isbn: 9781107113084
- length: 578 pages
- dimensions: 261 x 184 x 35 mm
- weight: 1.2kg
- contains: 146 b/w illus. 290 tables
- availability: Temporarily unavailable - available from TBC
Table of Contents
Part I. Basics:
1. Statistical distribution
2. Confidence intervals
3. A weighted average
4. Two discrete probability functions
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:
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.
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
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 email@example.com.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email firstname.lastname@example.orgRegister Sign in
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 ×
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.×