ABSTRACT

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians

chapter 1|38 pages

An Introduction to SAS

chapter 2|30 pages

Describing and Summarizing Data

chapter 3|24 pages

Basic Inference

chapter 5|30 pages

2A Simple One-Way Example

chapter 6|32 pages

Multiple Regression

chapter 7|28 pages

Logistic Regression

chapter 8|16 pages

The Generalized Linear Model

chapter 9|28 pages

Generalized Additive Models

chapter 10|14 pages

Nonlinear Regression Models

chapter 11|24 pages

The Analysis of Longitudinal Data I

chapter 14|28 pages

Survival Analysis