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Author Zelterman, Daniel.

Title Applied linear models with SAS / Daniel Zelterman
Published Cambridge ; New York : Cambridge University Press, 2010
Online access available from:
EBSCO eBook Academic Collection    View Resource Record  


Description 1 online resource (xiii, 273 pages) : illustrations
Contents Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables
Summary "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"--Provided by publisher
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Linear models (Statistics)
Regression analysis.
SAS (Computer program language)
Form Electronic book
ISBN 0511773706 (ebook)
0511774761 (eBook)
0511776284 (electronic bk.)
0511778643 (electronic bk.)
9780511773709 (ebook)
9780511774768 (eBook)
9780511776281 (electronic bk.)
9780511778643 (electronic bk.)