By Kelly H. Zou,Aiyi Liu,Andriy I. Bandos,Lucila Ohno-Machado,Howard E. Rockette
Statistical review of diagnostic functionality typically and Receiver working attribute (ROC) research specifically are vital for assessing the functionality of scientific checks and statistical classifiers, in addition to for comparing predictive versions or algorithms. This booklet offers leading edge techniques in ROC research, that are suitable to a wide selection of purposes, together with scientific imaging, melanoma study, epidemiology, and bioinformatics.
Statistical overview of Diagnostic functionality: issues in ROC Analysis covers parts together with monotone-transformation suggestions in parametric ROC research, ROC equipment for mixed and pooled biomarkers, Bayesian hierarchical transformation versions, sequential designs and inferences within the ROC surroundings, predictive modeling, multireader ROC research, and free-response ROC (FROC) technique.
The publication is appropriate for graduate-level scholars and researchers in records, biostatistics, epidemiology, public overall healthiness, biomedical engineering, radiology, clinical imaging, biomedical informatics, and different heavily comparable fields. also, scientific researchers and practising statisticians in academia, undefined, and govt may gain advantage from the presentation of such vital and but often ignored topics.
Read Online or Download Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis (Chapman & Hall/CRC Biostatistics Series) PDF
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Extra resources for Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis (Chapman & Hall/CRC Biostatistics Series)
Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis (Chapman & Hall/CRC Biostatistics Series) by Kelly H. Zou,Aiyi Liu,Andriy I. Bandos,Lucila Ohno-Machado,Howard E. Rockette