Everitt B., Rabe-Hesketh S. Analyzing Medical Data Using S-PLUS

Springer, 2001. — 487 p. — (Statistics for Biology and Health). — ISBN: 1441931767, 9781441931764, 9781475732856Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All examples will contain extensive graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.Prologue: Medical Statistics
An Introduction to S-PLUS
Describing Data
Basic Inference
Scatterplots, Simple Regression and Smoothing
Analysis of Variance and Covariance
The Analysis of Longitudinal Data
More Graphics
Multiple Linear Regression
Generalized Linear Models I: Logistic Regression
Generalised linear models II: Poisson regression
Linear Mixed Models I
Linear Mixed Models II
Generalized Additive Models
Nonlinear models
Regression Trees
Survival Analysis I
Survival Analysis II: Cox’s Regression
Principal Components and Factor Analysis
Cluster Analysis
Discriminant Function Analysis