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Applied Linear Models with SAS
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.
288 pages, Hardcover
First published May 10, 2010
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August 11, 2011
I hate biostats? But Zelterman was my professor, and what a hilarious professor he was. Best written Biostatistics book you could ever read - laid out, well-designed, organized and intelligent, with real-life examples and great charts and graphs.
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