Everitt / Rabe-Hesketh Analyzing Medical Data Using S-PLUS

Erscheinungsjahr 2013
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

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 graphical analysis to highlight one of the prime features of S-PLUS. The book would complement Venables and Ripley (VR). However, there is far less about the details of S-PLUS and probably less technical descriptions of techniques. The book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.

Zielgruppe

Research

Autoren/Hrsg.

Everitt, Brian

Rabe-Hesketh, Sophia

Inhaltsverzeichnis

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.