Author: Brian Everitt
Edition: 2001
Publisher: Springer
Binding: Hardcover
ISBN: 0387988629
Analyzing Medical Data Using S-PLUS (Statistics for Biology and Health)
Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. Medical books Analyzing Medical Data Using S-PLUS . Medical books Analyzing Medical Data Using S-Plus, 9780387988627. Analyzing Medical Data Using S-Plus, ISBN-13: 9780387988627, ISBN-10: 0387988629
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Analyzing Medical Data Using S-Plus, ISBN-13: 9780387988627, ISBN-10: 0387988629
Analyzing Medical Data Using S-Plus (2001 Edition) by Everitt, Brian/ Rabe-Hesketh, Sophia/ Everitt, Brian S. [Hardcover]
author brian s everitt author sophia rabe hesketh format hardback language english publication year 01 10 2001 series statistics for biology and health subject computing it subject 2 software packages title analyzing medical data using s plus statistics for biology and health author brian everitt publisher springer publication date nov 01 2001 pages 485 binding hardcover dimensions 6 75 wx 9 75 hx 0 75 d isbn 0387988629 subject medical research brand new hardcover all orders get full access to
Store Search search Title, ISBN and Author Analyzing Medical Data Using S-plus by Brian Everitt, Sophia Rabe-hesketh Estimated delivery 3-12 business days Format Paperback Condition Brand New This book covers a range of statistical methods useful in the analysis of medical data, from the simple to the sophisticated, and shows how they may be applied using the latest versions of S-PLUS and S-PLUS 6. In each chapter several sets of medical data are explored and analysed using a mixture of graphic
Medical Book Analyzing Medical Data Using S-PLUS
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.
