Average word count by user status and gender. by Ron Keinan (19485762)

“…Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. …”

Promotion rate for women based on gender composition of applicant pool. by Lauren Lanahan (3165426)

Subjects:

Multivariable linear regression analyses for predicting factors. by Maurice Pradella (11678817)

Performance of neural network and linear regression compared to real stock market. by Dania AL-Najjar (11840857)

Subjects:

HIV risk factors and modes of transmission by gender. by Kostyantyn Dumchev (7485692)

Description of the HWs with the greatest increase in excess mortality in each MR, including date of occurrence (year/month/day), observed increase in mortality, duration and intens... by Djacinto Monteiro dos Santos (17841235)

Subjects:

Differences by gender in the studied population. by Siena Molina (16014961)

“…In a cluster analysis, three patterns of patients were identified, with increasing significant mortality differences between them (p<0.001; H.R.:1.67; 95% CI: 1.49–1.88).…”

T test for independent sample of variables by gender. by Shujie Wu (3183627)

Gender-specific silhouettes for self-image assessment. by Soya Kawabata (3494978)

Correlations between perceptual bias scores, age, and autism-associated features: Simple linear regression showing a significant correlation between elevated proprioceptive bias an... by Daniel E. Lidstone (21567523)

Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

Scarring severity distribution by gender. by Meraf A. Wolle (9461162)

“…Residence in a community with TF≥10% was associated with a 1.6-fold increased odds of any scarring.</p><p>Conclusions/Significance</p><p>Overall scarring prevalence and more severe scarring prevalence was higher in females compared to males, even adjusting for age and community TF prevalence. …”

Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

This supplement contains a complete list of all terms that were significantly enriched using our transcriptomic data. by Amberleigh E. Henschen (3257235)

Changes in the scoring of the IPV dimensions for every 1-point increase on the GR scores: Adjusted linear regression coefficients (95% CI) (n = 1,005). by Andrea Llano-Suárez (11681749)

Multiple linear regression model estimates. by Mesele Belay Zegeye (18831351)

“…<div><p>Onion is a vital vegetable crop in Ethiopia, with significant economic and health benefits. However, its production trend is not consistent, with periods of increase and decrease; and its productivity in the country falls far below its potential. …”

Sleep quality as a function of gender and age. by Maria Estela Colado Tello (21011589)

Subjects:

Gender and variations in the prevalence of tuberculosis between age groups. by John Gameli Deku (18516150)

Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

Prevalence of anxiety and depression among study participants by gender. by Pratik Khanal (9235659)