Patterns of lifetime use of substances by gender. by Daniel Waiganjo Kinyanjui (15877725)

Subjects:

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

Subjects:

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

Subjects:

The funnel plot and forest plot of gender. by Mingkun Yu (465162)

Subjects:

Micronutrients intake and corresponding benchmarks based on the recommended daily allowances (RDA)* of CIBD diagnosed patients by age and gender. by Maha Hoteit (11589163)

Temporal evolution of the annual number of HWs during the period 1970–2020 at the Brazilian metropolitan regions (MR) sorted by latitude (decreasing with the distance from the Equa... by Djacinto Monteiro dos Santos (17841235)

Subjects:

Decrease of apolipoprotein-A1 by gender and age in US cohort. by Thierry Poynard (38084)

Fractal dimension measurements in the FMF and control groups according to gender. by Nilüfer Ersan (16475129)

Subjects:

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

Latent subgroups of couples defined using women’s experience of IPV at baseline. by Alev Gurbuz Cuneo (14762002)

Subjects:

SARS-CoV-2 salivary IgA and IgG titers after mRNA-1273 vaccination—comparison by gender. by Kenny Nguyen (7361624)

Subjects:

Results based on the Brown decomposition. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Regional differences in percentage changes of N07BB drug prescribing rates during the pandemic (both genders). by Dainty Ei (22265317)

Tests for significant covariation need to not use covariation in producing their alignments. by Elena Rivas (7973)

Subjects:

The data used in this article. by Mingming Li (502877)

“…<div><p>Although the Chinese government has implemented a variety of measures, the gender wage gap in 21^st century China has not decreased. …”

Ranges of significant and not-significant ATEs for Roman Urdu. by Ehtesham Hashmi (21540048)

Subjects:

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

Subjects:

Significant compounds based on significant Analysis of Metabolites of <i>S. shimperi</i> extracts by METLIN on XCMS. by M. Azene (22553313)

Subjects:

Themes identified in free-text responses to question ‘In your life, have you had any positive effects from the COVID-19 pandemic’ with example quote, shown in decreasing order of f... by Samuel Cornell (11047806)

Subjects:

Observed success probabilities (triangles for women, squares for men) and predictions according to Model 3 (increasing curves for women, decreasing curves for men) for the Veni dat... by Casper Albers (4871716)