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.
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