Results 111 to 120 of about 127,975,471 (298)
Statistical Considerations in Combining Multiple Biomarkers for Diagnostic Classification
Journal of Biostatistics and Epidemiology, 2022 Introduction: In clinical practices, multiple biomarkers are frequently used on the same subjects for diagnosis of an adverse outcome. This study compares two alternative multiple linear regression approaches as the logistic regression model and the ...
Karimollah Hajian-tilaki +2 more
doaj
A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve. [PDF]
Stat Methods Med Res, 2021 Lin R, Chan KG, Shi H.
europepmc +1 more source
Bounding sample size projections for the area under a ROC curve [PDF]
Journal of Statistical Planning and Inference, 2009 Studies of diagnostic tests are often designed with the goal of estimating the area under the receiver operating characteristic curve (AUC) because the AUC is a natural summary of a test's overall diagnostic ability. However, sample size projections dealing with AUCs are very sensitive to assumptions about the variance of the empirical AUC estimator ...
openaire +3 more sources
Boosting the Area Under the ROC Curve
, 2008 We show that any weak ranker that can achieve an area under the ROC curveslightly better than 1/2 (which can be achieved by random guessing) can be effi-ciently boosted to achieve an area under the ROC curve arbitrarily close to 1.
Philip M, Rocco A
core
, 2017 Results of receiver operating curve (ROC) analysis with the determination of the area under the ROC-curve (AUROC) for the prediction of 90-day waiting list mortality.
Alexander Kaltenborn (533995) +3 more
core +1 more source
Results for the area under the curve (AUC) in ROC curve analysis among CI, non-CI, and NBV groups.
, 2020 Results for the area under the curve (AUC) in ROC curve analysis among CI, non-CI, and NBV groups.
Byeong-Yeon Moon (6180266) +2 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
A new confidence interval based on the theory of U-statistics for the area under the curve
Modern Stochastics: Theory and ApplicationsThe area under the receiver operating characteristic curve (AUC) is a suitable measure for the quality of classification algorithms. Here we use the theory of U-statistics in order to derive new confidence intervals for it.
Jürgen Kampf +4 more
doaj +1 more source
Sensors, 2009 This work proposes a new method to classify multi-spectral satellite images based on multivariate adaptive regression splines (MARS) and compares this classification system with the more common parallelepiped and maximum likelihood (ML) methods. We apply
Elia Quirós +2 more
doaj +1 more source
nonbinROC: Software for Evaluating Diagnostic Accuracies with Non-Binary Gold Standards [PDF]
ROC analysis is a standard method for estimating and comparing diagnostic tests' accuracies when the gold standard is binary. However, there are many situations when the gold standard is not binary.
Paul Nguyen
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