The ROC curves and AUC values of the diagnostic model. حسب Zhe Wu (582498)

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

"…The results evidenced which models could adequately assist medical regulators during the decision-making process for bed regulation, enabling even more effective regulation and, consequently, greater availability of beds and a decrease in waiting time for patients.…"

Disease burden trends of leukemia and lymphoma analyzed by joinpoint regression analysis in mainland China. حسب Yu Fu (16582)

الموضوعات:

Disease burden trends of multiple myeloma and other hematological neoplasms analyzed by joinpoint regression analysis in mainland China. حسب Yu Fu (16582)

الموضوعات:

Ethnic identity as a moderator among APIDA students. حسب Ronna Bañada (19233063)

الموضوعات:

Area under the curve (AUC) for external validation performance. حسب Junichi Kushioka (12236447)

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 حسب Madeline Jarvis-Cross (22394247)

"…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</p>…"

The raw data used in this study. حسب Yu Fu (16582)

الموضوعات:

Projections of incidence for hematological malignancies in mainland China. حسب Yu Fu (16582)

الموضوعات:

Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China. حسب Yu Fu (16582)

الموضوعات:

Projections of mortality for hematological malignancies in mainland China. حسب Yu Fu (16582)

الموضوعات:

Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for lymphoma, multiple myeloma, and other hematological neoplasms in mainland China. حسب Yu Fu (16582)

الموضوعات:

Distribution of the size of calibration output for outputs greater than size 1. حسب Emmanuelle A. Dankwa (22560154)

(a) Chicago IL, USA zip codes and (b) Greater London UK boroughs. حسب Jacob Roxon (21743750)

A higher proportion of active KRAS exhibit greater sensitivity to daraxonrasib. حسب Okkeun Jung (21243431)

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

"…<p>To evaluate statistical trends, we calculated Kendall’s rank correlation coefficient during the pre-critical interval (here, days one to sixty), 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 trends. …"

A map of the greater Kampala Metropolitan showing the distribution of the study healthcare facilities. حسب Richard K. Mugambe (9465269)

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

The seeding activity of 24-OHC PFFs was greater than that of α-Syn PFFs in vivo. حسب Lijun Dai (2407099)

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