Trust change by gender. by Alain Abi-Rizk (8549358)

Subjects:

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

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

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

Lecturers by gender. by Ignacio García-Espona (21395335)

“…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”

Posters by gender. by Ignacio García-Espona (21395335)

“…The year and type of presentation; the name, country and gender of the first author; and the full title of the presentation were considered. …”

All Adverse Event Signals Screened by Penicillamine Gender Subgroup Analysis (FAERS). by Wenlong Qian (22608053)

Subjects:

Alcohol-related monthly crude rates between 2018 and 2024, stratified by gender, age and cause of death. by Tony Wong (779773)

Subjects:

Percent change in yearly crude rates (between 2019 and 2021 and between 2019 and 2024) by gender and state. by Tony Wong (779773)

Subjects:

Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

Subjects:

Forest plot of ROR values used to assess gender differences in penicillamine-related AEs. by Wenlong Qian (22608053)

Subjects:

Post-pandemic trust in science survey. by Alain Abi-Rizk (8549358)

Subjects:

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

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

Comparison of study variables by gender in the pretest. by Felipe Agudelo-Hernández (20790521)

Gender gap measures by country. by Lena Hipp (11720192)

Subjects:

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

Basic characteristics of the study participants by gender. by Subeen Kim (11714313)

Subjects:

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

Gender differences in first choice match outcomes. by Lucy Hui (17538542)

Subjects:

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)