Applied Linear Models with SAS

$90.99 (C)

Author: Daniel Zelterman, Yale University, Connecticut

Date Published: May 2010
availability: Available
format: Hardback
isbn: 9780521761598

Rate & review

$ 90.99 (C)
Hardback

Add to cart Add to wishlist

Other available formats:
eBook

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 collegesales@cambridge.org providing details of the course you are teaching.

Description

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book’s Web site, along with other ancillary material.
- Minimum of mathematics and equation knowledge required
- Emphasis on interpretation and use of statistical methods, with many examples from current events
- Use of the computer language SAS with a minimal knowledge of SAS needed
- All of the datasets and SAS programs are available from the book's website along with other ancillary material
Read more
Reviews & endorsements
"The author is an established and immensely experienced biostatistical and statistical researcher, and an excellent educator and speaker. His skill in teaching and presentation is very obvious in the engaging, sometime humorous, and easily comprehensible presentation style of the book. I will definitely keep a copy of this book on hand for my nonstatistical collaborators and even undergraduate students interested in a lucid yet thorough introduction to day-to-day biostatistical methods and applied data analysis."
Debajyoti Sinha, The American Statistician

Customer reviews

Not yet reviewed
Be the first to review

Log in 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?

Reviews must contain at least 12 words about the product.

×

Product details
- Date Published: May 2010
- format: Hardback
- isbn: 9780521761598
- length: 288 pages
- dimensions: 262 x 182 x 21 mm
- weight: 0.67kg
- contains: 69 b/w illus. 104 tables 118 exercises
- availability: Available
Table of Contents
1. Introduction
2. Principles of statistics
3. Introduction to linear regression
4. Assessing the regression
5. Multiple linear regression
6. Indicators, interactions, and transformations
7. Nonparametric statistics
8. Logistic regression
9. Diagnostics for logistic regression
10. Poisson regression
11. Survival analysis
12. Proportional hazards regression
13. Review of methods
Appendix: statistical tables.
Look Inside
Resources for

Applied Linear Models with SAS

Daniel Zelterman
General Resources
- Data files
Find resources associated with this title
Back to resources home

Your search for '' returned .
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.
Instructors have used or reviewed this title for the following courses
- Applied Data Analysis in Public Health Lab 2
- Applied Data Analysis ll
- Applied Linear Models
- Applied Statistics using SAS
- Current Biostatistical Methods and Computational Applications
- Intro to Biostatistics ll
- Statistical Analysis
- Statistical Computing
- Statistical Modeling I
- Statistical Modeling with Applications in Clinical Research
Author
Daniel Zelterman, Yale University, Connecticut
Dr Daniel Zelterman is Professor of Epidemiology and Public Health in the Division of Biostatistics at Yale University. His application areas include work in genetics, HIV, and cancer. Before moving to Yale in 1995, he was on the faculty of the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. He serves as associate editor of Biometrics and other statistical journals. He is the author of Models for Discrete Data (1999), Advanced Log-Linear Models Using SAS (2002), Discrete Distributions: Application in the Health Sciences (2004), and Models for Discrete Data, 2nd edition (2006).