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Analyzing medical data using S-PLUS

Author: Brian Everitt; S Rabe-Hesketh
Publisher: New York : Springer, ©2001.
Series: Statistics for biology and health.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Brian Everitt; S Rabe-Hesketh
ISBN: 0387988629 9780387988627 1441931767 9781441931764
OCLC Number: 45958228
Description: xii, 485 pages : illustrations ; 24 cm.
Contents: 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.
Series Title: Statistics for biology and health.
Responsibility: Brian Everitt, Sophia Rabe-Hesketh.
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From the reviews:TECHNOMETRICS"...a well-organized, nicely conceived book that will be useful to practitioners with S-PLUS in any environment."SHORT BOOK REVIEWS"This book presents a survey of modern Read more...

 
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