Analyzing Medical Data Using S-PLUS /

Each 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 grap...

Full description

Bibliographic Details
Main Author: Everitt, Brian
Corporate Author: SpringerLink (Online service)
Other Authors: Rabe-Hesketh, S.
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2001.
Series:Statistics for biology and health.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction to Medical Statistics
  • Introduction to S-PLUS
  • Simple Data Description and Inference
  • Boxplots, Scatterplots, Histograms
  • Correlation, Simple Linear Regression and Simple Anova
  • Basic Epidemiology, Odds Ratio, Chi-squared Tests, Cross Tabulations
  • Simple Analyses of Longitudinal Data
  • Multiple Regression/ Robust Regression
  • Logistic Regression
  • Generalized Linear Model
  • More on the Analysis of Longitudinal Data Including Non-linear Models
  • Generalized Additive Models
  • Tree Regression Models
  • Survival Analysis
  • Time Series Analysis
  • Principal Components and Factor Analysis
  • Cluster Analysis
  • Discriminant Function and Canonical Correlation Analysis
  • Bootstrap/Jackknife
  • Spatial Statistics.