Applied Linear Models with SAS
Applied Linear Models with SAS
£69.99
GBPThis 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 website, 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
Product details
July 2010Hardback
9780521761598
288 pages
262 × 182 × 21 mm
0.67kg
69 b/w illus. 104 tables 118 exercises
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.
