The Statistical Evaluation of Medical Tests for Classification and Prediction Free

Author: Margaret Sullivan Pepe
Edition: 1
Binding: Paperback
ISBN: 0198565828
Category: Medical

The Statistical Evaluation of Medical Tests for Classification and Prediction (Oxford Statistical Science Series)

This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. Download The Statistical Evaluation of Medical Tests for Classification and Prediction medical books for free.
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 Get The Statistical Evaluation of Medical Tests for Classification and Prediction our bestseller medical books.

The Statistical Evaluation of Medical Tests for Classification and Prediction Free

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 ore 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

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