Analyzing Medical Data Using S-PLUS (Hardcover, 2001 ed.)

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 graphical and model fitting approaches. At the end of each chapter the S-PLUS script files are listed, enabling readers to reproduce all the analyses and graphics in the chapter. These script files can be downloaded from a web site. The aim of the book is to show how to use S-PLUS as a powerful environment for undertaking a variety of statistical analyses from simple inference to complex model fitting, and for providing informative graphics. All such methods are of increasing importance in handling data from a variety of medical investigations including epidemiological studies and clinical trials. The mix of real data examples and background theory make this book useful for students and researchers alike. For the former, exercises are provided at the end of each chapter to increase their fluency in using the command line language of the S-PLUS software. Professor Brian Everitt is Head of the Department of Biostatistics and Computing at the Institute of Psychiatry in London and Sophia Rabe-Hesketh is a senior lecturer in the same department. Professor Everitt is the author of over 30 books on statistics including two previously co-authored with Dr. Rabe-Hesketh.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics for Biology and Health
Release date:	September 2001
First published:	2001
Authors:	Brian Everitt • Sophia Rabe-Hesketh
Dimensions:	234 x 156 x 28mm (L x W x T)
Format:	Hardcover
Pages:	486
Edition:	2001 ed.
ISBN-13:	978-0-387-98862-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer software packages > General Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
LSN:	0-387-98862-9
Barcode:	9780387988627

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