ROC analysis for classification and prediction in practice

著者

    • Nakas, Christos T.
    • Bantis, Leonidas E.
    • Gatsonis, Constantine

書誌事項

ROC analysis for classification and prediction in practice

Christos T. Nakas, Leonidas E. Bantis and Constantine A. Gatsonis

(Chapman & Hall/CRC biostatistics series)

CRC Press, 2023

First edition

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注記

Includes bibliographical references and index.

内容説明・目次

内容説明

Description of basic ROC methodology; R and STATA code Example Datasets Not too technical Many topics not included in other books

目次

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

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