The ability of Oxygen Reserve Index® to detect hyperoxia in critically ill patients

T Julien-Laferrière, G Delphine, P Boyer… - Annals of Intensive …, 2022 - search.proquest.com
Background Hyperoxia is associated with increased morbidity and mortality in the intensive
care unit. Classical noninvasive measurements of oxygen saturation with pulse oximeters …

Transformation models for ROC analysis

A Sewak, T Hothorn - arXiv preprint arXiv:2208.03679, 2022 - arxiv.org
Receiver operating characteristic (ROC) analysis is one of the most popular approaches for
evaluating and comparing the accuracy of medical diagnostic tests. Although various …

Composite quantile regression for the receiver operating characteristic curve

X Duan, XH Zhou - Biometrika, 2013 - academic.oup.com
The covariate-specific receiver operating characteristic curve is frequently used to evaluate
the classification accuracy of a diagnostic test when it is associated with certain covariates …

Propensity score-based adjustment for covariate effects on classification accuracy of bio-marker using ROC curve

M Mushfiquee, MS Rahman - Biostatistics & Epidemiology, 2022 - Taylor & Francis
The potential performance of bio-marker in classifying diseased from healthy population
may be affected by baseline covariates (X) that are associated with both the bio-marker (Y) …

Posibilidades diagnósticas de la PPD aviar en la paratuberculosis bovina en animales jóvenes

F Alvarado Pinedo - 2015 - sedici.unlp.edu.ar
El objetivo de este trabajo fue establecer un protocolo de aplicaciones de PPD Aviar que
permita el diagnóstico temprano de la paratuberculosis bovina. Con este propósito se …

CRIB conditional on gender: nonparametric ROC curve

M Filipa Mourão, A Cristina Braga… - International Journal of …, 2014 - emerald.com
Purpose–The purpose of this paper is to use the kernel method to produce a smoothed
receiver operating characteristic (ROC) curve and show how baby gender can influence …

Development of a Bayesian framework for determining uncertainty in receiver operating characteristic curve estimates

DR Parker, SC Gustafson, ME Oxley… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
This research uses a Bayesian framework to develop probability densities for the receiver
operating characteristic (ROC) curve. The ROC curve is a discrimination metric that may be …

Adjusting ROC curves for covariates in the presence of verification bias

R Fluss, B Reiser, D Faraggi - Journal of statistical planning and inference, 2012 - Elsevier
The ROC (receiver operating characteristic) curve is frequently used for describing
effectiveness of a diagnostic marker or test. Classical estimation of the ROC curve uses …

Adjusting for covariate effects on classification accuracy using the covariate-adjusted ROC curve

H Janes, MS Pepe - 2006 - biostats.bepress.com
Recent scientific and technological innovations have produced an abundance of potential
markers which are being investigated for their use in disease screen-ing and diagnosis. In …

Unified measures of target detection system performance evaluation

DR Parker, SC Gustafson… - Algorithms for Synthetic …, 2006 - spiedigitallibrary.org
This research compares alternative performance metrics to those more commonly used in
target detection system performance evaluation. The alternative performance metrics …