[HTML][HTML] Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy

J Lee, N van Es, T Takada, FA Klok, GJ Geersing… - Journal of Clinical …, 2023 - Elsevier
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 …

[HTML][HTML] Retinal shape-based classification of retinal detachment and posterior vitreous detachment eyes

SR Lake, MJ Bottema, KA Williams, T Lange… - Ophthalmology and …, 2023 - Springer
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 …

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 …

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 …

Estimating transformations for evaluating diagnostic tests with covariate adjustment

A Sewak, T Hothorn - Statistical Methods in Medical …, 2023 - journals.sagepub.com
Receiver operating characteristic analysis is one of the most popular approaches for
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 …

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 …

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 …

The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area

AM Carrington, PW Fieguth, F Mayr, ND James… - … -Domain Conference for …, 2022 - Springer
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 …

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma

J Quan, J Ye, J Lan, J Wang, Z Hu, Z Guo… - … Signal Processing and …, 2024 - Elsevier
Lymphoma is a malignant tumor originating from the lymphohematopoietic system. At
present, pathological evaluation is one of the important methods to diagnose malignant …