Statistical Evaluation of Diagnostic Performance

This book PDF is perfect for those who love Mathematics genre, written by Kelly H. Zou and published by CRC Press which was released on 19 April 2016 with total hardcover pages 245. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Statistical Evaluation of Diagnostic Performance books below.

Statistical Evaluation of Diagnostic Performance
Author : Kelly H. Zou
File Size : 55,6 Mb
Publisher : CRC Press
Language : English
Release Date : 19 April 2016
ISBN : 9781439812235
Pages : 245 pages
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Statistical Evaluation of Diagnostic Performance by Kelly H. Zou Book PDF Summary

Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis covers areas including monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology. The book is suitable for graduate-level students and researchers in statistics, biostatistics, epidemiology, public health, biomedical engineering, radiology, medical imaging, biomedical informatics, and other closely related fields. Additionally, clinical researchers and practicing statisticians in academia, industry, and government could benefit from the presentation of such important and yet frequently overlooked topics.

Statistical Evaluation of Diagnostic Performance

Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide

Get Book
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