Brian Everitt, Sophia Rabe-Hesketh

Analyzing Medical Data Using S-PLUS

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Statistics for Biology and Health
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3176-4
• Softcover reprint of hardcover 1st ed. 2001
• Seitenzahl: 500
• Erscheinungstermin: 6. Dezember 2010
• Englisch
• Abmessung: 235mm x 155mm x 27mm
• Gewicht: 751g
• ISBN-13: 9781441931764
• ISBN-10: 1441931767
• Artikelnr.: 32222762

Inhaltsangabe

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.

Rezensionen

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 methods used in, but not confined to, medical statistics, each accompanied by a brief summary of the mathematical components, instruction in the basics of the S-PLUS computer language, up-to-date references, examples using sets of data from medical research, and S-PLUS code for the examples. The sets of data and S-PLUS code are available for downloading from a website referenced in the book (some but not all of the S-PLUS code runs in R, the freeware counterpart of S). ... The book will be a handy reference on my consulting shelf."