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＜電子ブック＞
Analyzing Medical Data Using S-PLUS / by Brian Everitt, Sophia Rabe-Hesketh
(Statistics for Biology and Health. ISSN:21975671)

版	1st ed. 2001.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2001
本文言語	英語
大きさ	XII, 486 p : online resource
著者標目	*Everitt, Brian author Rabe-Hesketh, Sophia author SpringerLink (Online service)
件　名	LCSH:Application software LCSH:Biometry LCSH:Mathematical statistics -- Data processing  全ての件名で検索 LCSH:Biomathematics FREE:Computer and Information Systems Applications FREE:Biostatistics FREE:Statistics and Computing FREE:Mathematical and Computational Biology
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/978-1-4757-3285-6

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