Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

“…These institutions were chosen based on their large student populations, diverse academic offerings, and significant geographical coverage within the state. …”

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Ischemic heart disease-related mortality trends in older adult population and stratified for gender in 1999–2020. by Fakhar Latif (19760906)

Subjects:

Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

Logistic regression for influenza results predictors. by Reem Eid (20889732)

Logistic regression for RSV results predictors. by Reem Eid (20889732)

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

“…Concerning gender, a clear imbalance in favour of men persists among lecturers. …”

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

“…Concerning gender, a clear imbalance in favour of men persists among lecturers. …”

Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

Sobel test for the significance of the mediation effect. by Getachew Magnar Kitila (19935139)

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

Subjects:

Predictors of SCD. by Iftikhar Ali Ch (20783753)

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

Subjects:

The demographics questionnaire includes questions about age, education, gender and employment. by Marcel F. Hinss (14675457)

Gender-specific incidence trends of HFMD in Guangzhou from 2013 to 2023. by Haipeng Luo (5322419)

GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

Subjects:

Age-specific and gender-specific incidence trends of HFMD in Guangzhou, 2013–2023. by Haipeng Luo (5322419)