[HTML][HTML] Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy
Objectives We present an illustrative application of methods that account for covariates in
receiver operating characteristic (ROC) curve analysis, using individual patient data on D …
receiver operating characteristic (ROC) curve analysis, using individual patient data on D …
[HTML][HTML] Retinal shape-based classification of retinal detachment and posterior vitreous detachment eyes
Introduction Retinal detachment is a sight-threatening emergency, with more than half of
those affected suffering permanent visual impairment. A diagnostic test to identify eyes at …
those affected suffering permanent visual impairment. A diagnostic test to identify eyes at …
Addressing robust estimation in covariate–specific ROC curves
AM Bianco, G Boente - Econometrics and Statistics, 2023 - Elsevier
Proposals given in the field of ROC curves focusing on their robust aspects and
contributions are considered. The motivation is the extended belief that ROC curves are …
contributions are considered. The motivation is the extended belief that ROC curves are …
The covariate-adjusted ROC curve: the concept and its importance, review of inferential methods, and a new Bayesian estimator
V Inácio, MX Rodríguez-Álvarez - Statistical Science, 2022 - projecteuclid.org
In the supplement we:(i) discuss further practical considerations and provide examples
about the need of adjusting for covariates,(ii) describe the details of the bootstrap scheme …
about the need of adjusting for covariates,(ii) describe the details of the bootstrap scheme …
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 …
ROCnReg: an R package for receiver operating characteristic curve inference with and without covariates
MX Rodríguez-Álvarez, I Vanda - 2021 - bird.bcamath.org
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 …
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 …
Novel Tools for Single Comparative and Unified Evaluation of Qualitative and Quantitative Bioassays: SS/PV–ROC and SS-J/PV-PSI Index–ROC Curves with …
P Oehr - Diagnostics, 2024 - mdpi.com
Background: This investigation is both a study of potential non-invasive diagnostic
approaches for the bladder cancer biomarker UBC® Rapid test and a study including novel …
approaches for the bladder cancer biomarker UBC® Rapid test and a study including novel …
The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area
In many areas of our daily lives (eg, healthcare), the performance of a binary diagnostic test
or classification model is often represented as a curve in a Receiver Operating …
or classification model is often represented as a curve in a Receiver Operating …
A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma
Lymphoma is a malignant tumor originating from the lymphohematopoietic system. At
present, pathological evaluation is one of the important methods to diagnose malignant …
present, pathological evaluation is one of the important methods to diagnose malignant …