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.
| ISBN: | 9781441931764 |
| Publication date: | 6th December 2010 |
| Author: | Brian Everitt, S RabeHesketh |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 485 pages |
| Series: | Statistics for Biology and Health |
| Genres: |
Applied computing Computational biology / bioinformatics Mathematical and statistical software Probability and statistics |
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.
Analyzing Medical Data Using S-PLUS features in the following genres: Applied computing, Computational biology / bioinformatics, Mathematical and statistical software, Probability and statistics
Paperback, Hardback. Not Available.
Analyzing Medical Data Using S-PLUS was written by Brian Everitt, S RabeHesketh and published by Springer an imprint of Springer New York
Analyzing Medical Data Using S-PLUS has 485 pages
Yes it is part of Statistics for Biology and Health series