The Statistical Evaluation of Medical Tests for Classification and Prediction (Paperback, New)

This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Series:	Oxford Statistical Science Series
Release date:	October 2004
First published:	December 2004
Authors:	Margaret Sullivan Pepe
Dimensions:	233 x 158 x 19mm (L x W x T)
Format:	Paperback
Pages:	320
Edition:	New
ISBN-13:	978-0-19-856582-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > Clinical & internal medicine > Medical diagnosis > General
LSN:	0-19-856582-8
Barcode:	9780198565826

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