UID:
almahu_9947363212802882
Format:
XII, 486 p.
,
online resource.
ISBN:
9781475732856
Series Statement:
Statistics for Biology and Health,
Content:
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.
Note:
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.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9781441931764
Language:
English
DOI:
10.1007/978-1-4757-3285-6
URL:
http://dx.doi.org/10.1007/978-1-4757-3285-6
URL:
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