A network approach to compute hypervolume under receiver operating characteristic manifold for multi‐class biomarkers
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9646
Abstract: Computation of hypervolume under ROC manifold (HUM) is necessary to evaluate biomarkers for their capability to discriminate among multiple disease types or diagnostic groups. However the original definition of HUM involves multiple integration and thus… read more here.
Keywords: multi class; approach compute; operating characteristic; receiver operating ... See more keywords
The use of receiver operating characteristic curves and precision-versus-recall curves as performance metrics in unsupervised structural damage classification under changing environment
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Structures"
DOI: 10.1016/j.engstruct.2021.113029
Abstract: Abstract The development of long-term structural health monitoring systems is recently receiving a growing scientific interest in the field of Civil Engineering. In the context of unsupervised learning processes, deviations of dynamic parameters from their… read more here.
Keywords: versus recall; recall curves; damage; precision versus ... See more keywords
Risk analysis, ideal observers, and receiver operating characteristic curves for tasks that combine detection and estimation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.6.1.015502
Abstract: Abstract. Previously published work on joint estimation/detection tasks has focused on the area under the estimation receiver operating characteristic (EROC) curve as a figure of merit (FOM) for these tasks in imaging. Another FOM for… read more here.
Keywords: curve; risk; receiver operating; estimation ... See more keywords
Recognition Receiver Operating Characteristic Curves: The Complex Influence of Input Statistics, Memory, and Decision-making.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of cognitive neuroscience"
DOI: 10.1162/jocn_a_01697
Abstract: Receiver operating characteristic (ROC) analysis is the standard tool for studying recognition memory. In particular, the curvilinearity and the y-offset of recognition ROC curves have been interpreted as indicative of either memory strength (single-process models)… read more here.
Keywords: recognition memory; operating characteristic; roc; recognition ... See more keywords
Fully non-parametric receiver operating characteristic curve estimation for random-effects meta-analysis
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214537047
Abstract: Meta-analyses, broadly defined as the quantitative review and synthesis of the results of related but independent comparable studies, allow to know the state of the art of one considered topic. Since the amount of available… read more here.
Keywords: characteristic curve; random effects; operating characteristic; receiver operating ... See more keywords
Confidence intervals for differences between volumes under receiver operating characteristic surfaces (VUS) and generalized Youden indices (GYIs)
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280217740787
Abstract: This article explores both existing and new methods for the construction of confidence intervals for differences of indices of diagnostic accuracy of competing pairs of biomarkers in three-class classification problems and fills the methodological gaps… read more here.
Keywords: operating characteristic; generalized youden; receiver operating; confidence intervals ... See more keywords
Tournament leave-pair-out cross-validation for receiver operating characteristic analysis
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280218795190
Abstract: Receiver operating characteristic analysis is widely used for evaluating diagnostic systems. Recent studies have shown that estimating an area under receiver operating characteristic curve with standard cross-validation methods suffers from a large bias. The leave-pair-out… read more here.
Keywords: cross validation; operating characteristic; receiver operating; leave pair ... See more keywords
Revisiting performance metrics for prediction with rare outcomes
Sign Up to like & getrecommendations! Published in 2021 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802211038754
Abstract: Machine learning algorithms are increasingly used in the clinical literature, claiming advantages over logistic regression. However, they are generally designed to maximize the area under the receiver operating characteristic curve. While area under the receiver… read more here.
Keywords: characteristic curve; operating characteristic; receiver operating; area receiver ... See more keywords
Estimation of multiple ordered ROC curves using placement values.
Sign Up to like & getrecommendations! Published in 2022 at "Statistical methods in medical research"
DOI: 10.1177/09622802221094940
Abstract: In many diagnostic accuracy studies, a priori orders may be available on multiple receiver operating characteristic curves. For example, being closer to delivery, fetal ultrasound measures in the third trimester should be no less accurate… read more here.
Keywords: placement values; characteristic curves; receiver operating; operating characteristic ... See more keywords
Revisiting sample size planning for receiver operating characteristic studies: A confidence interval approach with precision and assurance
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802231151210
Abstract: Estimation of areas under receiver operating characteristic curves and their differences is a key task in diagnostic studies. Here we develop closed-form sample size formulas for such studies with a focus on estimation rather than… read more here.
Keywords: operating characteristic; sample size; assurance; precision ... See more keywords
Confidence intervals for the length of the receiver-operating characteristic curve based on a smooth estimator.
Sign Up to like & getrecommendations! Published in 2023 at "Statistical methods in medical research"
DOI: 10.1177/09622802231160053
Abstract: A good diagnostic test should show different behavior on both the positive and the negative populations. However, this is not enough for having a good classification system. The binary classification problem is a complex task,… read more here.
Keywords: operating characteristic; confidence intervals; length receiver; characteristic curve ... See more keywords