Transformation models for ROC analysis
Receiver operating characteristic (ROC) analysis is one of the most popular approaches for
evaluating and comparing the accuracy of medical diagnostic tests. Although various …
evaluating and comparing the accuracy of medical diagnostic tests. Although various …
Compare diagnostic tests using transformation-invariant smoothed ROC curves
Receiver operating characteristic (ROC) curve, plotting true positive rates against false
positive rates as threshold varies, is an important tool for evaluating biomarkers in diagnostic …
positive rates as threshold varies, is an important tool for evaluating biomarkers in diagnostic …
[图书][B] Statistical evaluation of diagnostic performance: topics in ROC analysis
KH Zou, A Liu, AI Bandos, L Ohno-Machado… - 2011 - books.google.com
Statistical evaluation of diagnostic performance in general and Receiver Operating
Characteristic (ROC) analysis in particular are important for assessing the performance of …
Characteristic (ROC) analysis in particular are important for assessing the performance of …
Estimating transformations for evaluating diagnostic tests with covariate adjustment
Receiver operating characteristic analysis is one of the most popular approaches for
evaluating and comparing the accuracy of medical diagnostic tests. Although various …
evaluating and comparing the accuracy of medical diagnostic tests. Although various …
[HTML][HTML] A linear regression framework for the receiver operating characteristic (ROC) curve analysis
Z Zhang, Y Huang - Journal of biometrics & biostatistics, 2005 - ncbi.nlm.nih.gov
The receiver operating characteristic (ROC) curve has been a popular statistical tool for
characterizing the discriminating power of a classifier, such as a biomarker or an imaging …
characterizing the discriminating power of a classifier, such as a biomarker or an imaging …
ROCnReg: An R package for receiver operating characteristic curve inference with and without covariate information
MX Rodríguez-Álvarez, V Inacio - arXiv preprint arXiv:2003.13111, 2020 - arxiv.org
The receiver operating characteristic (ROC) curve is the most popular tool used to evaluate
the discriminatory capability of diagnostic tests/biomarkers measured on a continuous scale …
the discriminatory capability of diagnostic tests/biomarkers measured on a continuous scale …
Three approaches to regression analysis of receiver operating characteristic curves for continuous test results
MS Pepe - Biometrics, 1998 - JSTOR
The accuracy of a medical diagnostic test is typically summarized by the sensitivity and
specificity when the test result is dichotomous. Receiver operating characteristic (ROC) …
specificity when the test result is dichotomous. Receiver operating characteristic (ROC) …
ROCnReg: an R package for receiver operating characteristic curve inference with and without covariates
MX Rodríguez-Álvarez, V Inácio - 2021 - digitalcommons.unl.edu
This paper introduces the package ROCnReg that allows estimating the pooled ROC curve,
the covariate-specific ROC curve, and the covariate-adjusted ROC curve by different …
the covariate-specific ROC curve, and the covariate-adjusted ROC curve by different …
ROC curve analysis in the presence of imperfect reference standards
The receiver operating characteristic (ROC) curve is an important tool for the evaluation and
comparison of predictive models when the outcome is binary. If the class membership of the …
comparison of predictive models when the outcome is binary. If the class membership of the …
ROC curve estimation when covariates affect the verification process
C Rodenberg, XH Zhou - Biometrics, 2000 - Wiley Online Library
A receiver operating characteristic (ROC) curve is commonly used to measure the accuracy
of a medical test. It is a plot of the true positive fraction (sensitivity) against the false positive …
of a medical test. It is a plot of the true positive fraction (sensitivity) against the false positive …