ROC analysis for classification and prediction in practice
Author(s)
Bibliographic Information
ROC analysis for classification and prediction in practice
（Chapman & Hall/CRC biostatistics series）
CRC Press, 2023
First edition
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Note
Includes bibliographical references and index.
Description and Table of Contents
Description
Description of basic ROC methodology;
R and STATA code
Example Datasets
Not too technical
Many topics not included in other books
Table of Contents
1. Introduction 2. Measures of Diagnostic and Predictive Performance 3. Statistical inference for the ROC curve 4. Comparing ROC curves 5. The ROC surface and k-class classification for k > 2 6. ROC regression 7. Missing data and errors-in-variables in ROC analysis
by "Nielsen BookData"
