ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…In Rio Grande do Norte, Brazil, the <i>RegulaRN Leitos Gerais</i> platform was the information system developed to register requests for bed regulation for COVID-19 cases. …”

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

Area under the ROC Curve (AUC) analysis to predict AIS conversion at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)

Area under the ROC curve (AUC) analysis to predict neurological severity at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)

Column charts of WiAUC in therapy and control group at baseline and follow-up. by Felix L. Herr (21544362)

AUC surface with respect to regularization parameters <i>λ</i> and . by Yangsong He (13909371)

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". …”

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”

Statistical analysis of the AUC measurement. by Esra Ayan (21156015)

“…<p>Analysis indicated that INSv application significantly changed spontaneous calcium activity (IAsp <i>p</i>-value: 0.1290, INSv <i>p</i>-value: 0.0002). …”

Demographic and ocular features. by Mingxi Shao (10066570)

“…Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

“…Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”

Flow diagram of participants selection. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Minimal data set. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Weighted comparison of baseline characteristics. by Wei Huang (36889)

“…Each10 units increase in BRI, ASM/ BMI decreased by 29% (β = −0.29,95% CI: −0.31, −0.28, <i><i>p</i></i> value < 0.0001). …”

Table 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Image 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg by Hongjing Guan (172193)

“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”

Supplementary file 1_Analysis of the diagnostic value of peripheral blood immune inflammatory indicators of female bladder pain syndrome.zip by Yinglei Wang (3844756)

Effect of oral potassium supplementation on urinary potassium excretion and its diagnostic value for primary aldosteronism by Ke Zhang (115386)

“…<p>We aimed to: (1) explore the effect of oral potassium supplementation on urinary potassium excretion, and (2) evaluate the value of urinary potassium-related indicators in distinguishing primary aldosteronism (PA) from non-PA patients.…”

AUC statistics comparing statistical trends in control and test populations. by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger trends. …”