Brian Everitt,
Sophia Rabe-Hesketh
Springer New York
0e druk, 2010
9781441931764
Analyzing Medical Data Using S-PLUS
Specificaties
Paperback, 486 blz.
|
Engels
Springer New York |
0e druk, 2010
ISBN13: 9781441931764
Rubricering
Onderdeel van serie
Statistics for Biology and Health
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9781441931764
Taal:Engels
Bindwijze:paperback
Aantal pagina's:486
Uitgever:Springer New York
Druk:0
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Inhoudsopgave
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