Name: Statistical Evaluation of Diagnostic Performance: Topics in roc Analysis (Chapman & Hall (en Inglés)
Price: 420090.00 COP
Availability: InStock
Author: Kelly H. Zou; Aiyi Liu; Andriy I. Bandos; Lucila Ohno-Machado; Howard E. Rockette
ISBN: 9781439812228

portada Statistical Evaluation of Diagnostic Performance: Topics in roc Analysis (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Chapman & Hall

Autor

Kelly H. Zou; Aiyi Liu; Andriy I. Bandos; Lucila Ohno-Machado; Howard E. Rockette

Año

2011

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Dura

ISBN

1439812225

ISBN13

9781439812228

N° edición

Categorías

Probabilidad y estadística

Statistical Evaluation of Diagnostic Performance: Topics in roc Analysis (Chapman & Hall (en Inglés)

Kelly H. Zou; Aiyi Liu; Andriy I. Bandos; Lucila Ohno-Machado; Howard E. Rockette (Autor) · Chapman & Hall · Tapa Dura

Libro Físico

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Reseña del libro "Statistical Evaluation of Diagnostic Performance: Topics in roc Analysis (Chapman & Hall (en Inglés)"

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.