E-Book, Englisch, 486 Seiten, eBook
Everitt / Rabe-Hesketh Analyzing Medical Data Using S-PLUS
2001
ISBN: 978-1-4757-3285-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 486 Seiten, eBook
Reihe: Statistics for Biology and Health
ISBN: 978-1-4757-3285-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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
