Roc Analysis for Classification and Prediction in Practice

ISBN-13: 9781482233704 / Angielski / Twarda / 2023 / 300 str.

Christos Nakas; Constantine Gatsonis; Leonidas Bantis

Opis

This book will present a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The book will emphasize the practical implementation of these methods using standard statistical software such as R and STATA.

Spis treści

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