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140122 ||| eng |
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|a 9781475732856
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| 100 |
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|a Everitt, Brian
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| 245 |
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|a Analyzing Medical Data Using S-PLUS
|h Elektronische Ressource
|c by Brian Everitt, Sophia Rabe-Hesketh
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| 250 |
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|a 1st ed. 2001
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| 260 |
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|a New York, NY
|b Springer New York
|c 2001, 2001
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| 300 |
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|a XII, 486 p
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Mathematical and Computational Biology
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| 653 |
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|a Biostatistics
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| 653 |
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|a Application software
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| 653 |
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|a Biomathematics
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Mathematical statistics / Data processing
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| 653 |
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|a Statistics and Computing
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| 653 |
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|a Biometry
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| 700 |
1 |
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|a Rabe-Hesketh, Sophia
|e [author]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Statistics for Biology and Health
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| 028 |
5 |
0 |
|a 10.1007/978-1-4757-3285-6
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4757-3285-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 005.3
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| 520 |
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|a 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
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