Results 81 to 90 of about 3,627,888 (206)
Receiver operating characteristic (ROC) curve analysis of ISAA against CARS2 (n = 264).
, 2022 Receiver operating characteristic (ROC) curve analysis of ISAA against CARS2 (n = 264).
Satish Iyengar (4172776) +10 more
core +1 more source
Frontiers in EndocrinologyBackgroundThere is limited data on the association between TyG-BMI and NAFLD in patients with Type 2 Diabetes Mellitus (T2DM). The magnitude of risk prediction and predictive efficacy of TyG-BMI for T2DM with NAFLD remains unclear.ObjectiveTo examine the
Xiaoyi Qian +12 more
doaj +1 more source
On Boundary Correction in Kernel Estimation of ROC Curves
Austrian Journal of Statistics, 2016 The Receiver Operating Characteristic (ROC) curve is a statistical tool for evaluating the accuracy of diagnostics tests. The empirical ROC curve (which is a step function) is the most commonly used non-parametric estimator for the ROC curve.
Jan Koláček, Rohana J. Karunamuni
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
core
PresenceAbsence: An R Package for Presence Absence Analysis [PDF]
The PresenceAbsence package for R provides a set of functions useful when evaluating the results of presence-absence analysis, for example, models of species distribution or the analysis of diagnostic tests.
Elizabeth A. Freeman, Gretchen Moisen
core
Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings
Applied Medical InformaticsWe evaluated ‘VITALCARE-SEPS’, a deep learning model for sepsis prediction, using the activity monitoring operator characteristics curve with two different scoring algorithms.
Hyunwoo CHOO +5 more
doaj
Receiver operating characteristic (ROC) curve for fecal calprotectin.
, 2016 Receiver operating characteristic (ROC) curve for fecal calprotectin in prediction the presence of acute appendicitis. The area under the curve (AUC) was 0.869 (95% confidence interval (CI) CI 0.715–1.0), p = 0.009.
Hubert Zirngibl (3608042) +3 more
core +1 more source
Receiver operating characteristic (ROC) curve for whole cohort.
, 2014 Discriminatory ability for death at one, two, and three years, evaluated by receiver operating characteristic (ROC) curve area, for Okuda, CLIP, BCLC and JIS scores for whole cohort.
Mohamed Saad Hashim (531752) +2 more
core +1 more source
Receiver operating characteristic (ROC) curve for WBC and CRP.
, 2016 Receiver operating characteristic (ROC) curve for WBC (AUC: 0.728, 95% CI: 0.473–0.983, p = 0.098) and CRP in prediction the presence of acute appendicitis (AUC: 0.316, 95% CI: 0.033–0.593, p = 0.181).
Hubert Zirngibl (3608042) +3 more
core +1 more source
Efficient Calculation of Jackknife Confidence Intervals for Rank Statistics [PDF]
An algorithm is presented for calculating concordance-discordance totals in a time of order N log N , where N is the number of observations, using a balanced binary search tree.
Roger Newson
core