Diagnostic test evaluation methodology: a systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard–an update
CM Umemneku Chikere, K Wilson, S Graziadio… - PLoS …, 2019 - journals.plos.org
Objective To systematically review methods developed and employed to evaluate the
diagnostic accuracy of medical test when there is a missing or no gold standard. Study …
diagnostic accuracy of medical test when there is a missing or no gold standard. Study …
A comparative study of artificial intelligence models and a statistical method for groundwater level prediction
M Poursaeid, AH Poursaeid, S Shabanlou - Water Resources …, 2022 - Springer
Today, various methods have been developed to extract drinking water resources, which
scientists use to simulate the quantitative and qualitative water resources parameters. Due …
scientists use to simulate the quantitative and qualitative water resources parameters. Due …
Modeling of wetlands storage instabilities using an optimized slffn machine learning using evolutionary computation considering the RROC analysis and PDF …
M Poursaeid - Earth Science Informatics, 2024 - Springer
Today, humanity has managed to overcome many challenges related to water. One of the
most significant challenges concerning surface water resources is their preservation and …
most significant challenges concerning surface water resources is their preservation and …
Water Quality Fluctuations Prediction and Debi Estimation Based on Stochastic Optimized Weighted Ensemble Learning Machine
M Poursaeid, AH Poursaeed, S Shabanlou - Process Safety and …, 2024 - Elsevier
Today, humanity faces the complex phenomenon of global development. Problems such as
limited resources, financial constraints, time constraints, and the involved nature of issues …
limited resources, financial constraints, time constraints, and the involved nature of issues …
Verification Bias: Impact and Methods for Correction when Assessing Accuracy of Diagnostic Tests
TA Alonzo - REVSTAT-Statistical Journal, 2014 - revstat.ine.pt
Sometimes it is not feasible to obtain disease status verification for all study subjects.
Analysis of only those with disease ascertainment can result in biased estimates of the …
Analysis of only those with disease ascertainment can result in biased estimates of the …
Estimation of the volume under the receiver-operating characteristic surface adjusting for non-ignorable verification bias
Y Zhang, TA Alonzo… - … Methods in Medical …, 2018 - journals.sagepub.com
The receiver-operating characteristic surface is frequently used for presenting the accuracy
of a diagnostic test for three-category classification problems. One common problem that can …
of a diagnostic test for three-category classification problems. One common problem that can …
Estimation of the volume under the ROC surface in presence of nonignorable verification bias
K To Duc, M Chiogna, G Adimari… - Statistical Methods & …, 2019 - Springer
The volume under the receiver operating characteristic surface (VUS) is useful for
measuring the overall accuracy of a diagnostic test when the possible disease status …
measuring the overall accuracy of a diagnostic test when the possible disease status …
Estimation of the volume under the ROC surface in presence of nonignorable verification bias
KT Duc, M Chiogna, G Adimari - arXiv preprint arXiv:1610.08805, 2016 - arxiv.org
The volume under the receiver operating characteristic surface (VUS) is useful for
measuring the overall accuracy of a diagnostic test when the possible disease status …
measuring the overall accuracy of a diagnostic test when the possible disease status …
Jackknife empirical likelihood confidence regions for the evaluation of continuous-scale diagnostic tests with verification bias
B Wang, G Qin - Statistical Methods in Medical Research, 2016 - journals.sagepub.com
Recently, Wang and Qin proposed various bias-corrected empirical likelihood confidence
regions for any two of the three parameters, sensitivity, specificity, and cut-off value, with the …
regions for any two of the three parameters, sensitivity, specificity, and cut-off value, with the …