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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2001, 2001
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| Edition: | 1st ed. 2001 |
| Series: | Statistics for Biology and Health
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Prologue
- 1 An Introduction to S-PLUS
- 2 Describing Data
- 3 Basic Inference
- 4 Scatterplots, Simple Regression and Smoothing
- 5 Analysis of Variance and Covariance
- 6 The Analysis of Longitudinal Data
- 7 More Graphics
- 8 Multiple Linear Regression
- 9 Generalized Linear Models I: Logistic Regression
- 10 Generalised linear models II: Poisson regression
- 11 Linear Mixed Models I
- 12 Linear Mixed Models II
- 13 Generalized Additive Models
- 14 Nonlinear models
- 15 Regression Trees
- 16 Survival Analysis I
- 17 Survival Analysis II: Cox’s Regression
- 18 Principal Components and Factor Analysis
- 19 Cluster Analysis
- 20 Discriminant Function Analysis
- A The S-Plus Gui
- A.1 Introduction
- A.2 Statistical analysis using dialogue boxes
- A.3 Graphics using the GUI
- B Answers to selected exercises
- References