Applied Linear Models with SAS (Google eBook)

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Cambridge University Press, May 10, 2010 - Medical
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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 website, along with other ancillary material.
  

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Contents

Introduction
1
Principles of Statistics
21
Introduction to Linear Regression
58
Assessing the Regression
75
Multiple Linear Regression
90
Indicators Interactions and Transformations
120
Nonparametric Statistics
150
Logistic Regression
169
Poisson Regression
204
Survival Analysis
225
Proportional Hazards Regression
237
Review of Methods
247
Statistical Tables
255
Selected Solutions and Hints
263
Index
269
Copyright

Diagnostics for Logistic Regression
187

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About the author (2010)

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).

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