Descriptive statistics (means) for full sample and by lockdown status. by Drew B. Cameron (10687420)

Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), inc... by Kira Minehart (21029571)

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), inc... by Kira Minehart (21029571)

Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... by Lirika Sola (21560710)

Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

Sample means, SDs, and selected correlations. by Erik Lykke Mortensen (7239170)

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. by A. H. Ayesha Lavell (16734002)

Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

“…Cox regression analysis estimated hazard ratios across social-demographic and medical predictors.</p><p>Results</p><p>Over the decade, age-standardized incidence rates decreased from 5.55 to 5.40 per 100,000, while mortality rates rose from 3.75 to 4.75 per 100,000. …”

Structural equation model of potential predictors of maternal mental health of postpartum women during the COVID-19 pandemic in Argentina. by Agustín Ramiro Miranda (10399847)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

Baseline characteristics. by A. H. Ayesha Lavell (16734002)

“…No differences were found regarding patient care roles, prior SARS-CoV-2 infection, years of work experience, or hospital workdays per week. Mental health significantly declined during the COVID-19 pandemic, after which mental health symptoms returned to baseline as the burden of COVID-19 patients decreased and public measures were lifted. …”

De-identified participant survey data. by A. H. Ayesha Lavell (16734002)

“…No differences were found regarding patient care roles, prior SARS-CoV-2 infection, years of work experience, or hospital workdays per week. Mental health significantly declined during the COVID-19 pandemic, after which mental health symptoms returned to baseline as the burden of COVID-19 patients decreased and public measures were lifted. …”

Results of longitudinal analysis of mental health in HCWs. by A. H. Ayesha Lavell (16734002)

Demographics of the study population. by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”

Table 3 - by Sohyun Park (78358)

“…OBH was a significant independent predictor of iPD, with a cutoff of 1.52 mm. …”