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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.
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