Analyzing Medical Data Using S-PLUS
(Sprache: Englisch)
Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the...
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Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
Inhaltsverzeichnis zu „Analyzing Medical Data Using S-PLUS “
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 Generalized 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 The S-PLUS GUI
Autoren-Porträt von Brian Everitt, Sophia Rabe-Hesketh
Brian Everitt is Emeritus Professor of Statistics, King's College, London.
Bibliographische Angaben
- Autoren: Brian Everitt , Sophia Rabe-Hesketh
- 2001, 486 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387988629
- ISBN-13: 9780387988627
- Erscheinungsdatum: 21.09.2001
Sprache:
Englisch
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