Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

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)

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

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

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

Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)

Classification of hand grip strength. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Regression model coefficients. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

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

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”

Data Sheet 1_Perceived protective behavioral changes in Chinese residents post-dynamic zero-COVID policy lifting: a cross-sectional study.docx by Yuan-Yuan Song (6287387)

“…The mean scores for the two vaccination-related items were significantly greater than the hypothesized no-change value of 2 (p < 0.001). …”

Table 1_Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups (2010–2019).xlsx by Nurlan Smagulov (21510632)

“…</p>Results<p>Respiratory diseases showed the highest mean incidence (57,329.86 per 100,000), with significant regional variation. …”

Data Sheet 1_Knowledge, attitude, and practice toward foodborne disease among Chinese college students: a cross-sectional survey.pdf by Xingming Ma (446316)

“…The significant predictors of practices were included gender (β = 0.11, p < 0.05), nationality (β = −0.12, p < 0.05), specialization type (β = −0.13, p < 0.05), residence (β = −0.11, p < 0.05).…”

SEAwise Report on improved predictive models of growth, production and stock quality under different habitat scenarios and incorporating experimental results by Leire Ibaibarriaga (13760979)

“…Summer temperature was not a significant driver of the individual growth. Mediated length-based growth models and linear mixed models applied to weight-at-age data of six stocks showed forecast potential for only one stock (sol.27.20-24). …”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…Original, measured values retain a flag of 0.<br><br><i>2. Mean Imputation Fallback for Predictors:</i> Any remaining gaps in these non-PM₂.₅ pollutant columns (after linear interpolation) were filled using the overall column mean (sklearn.impute.SimpleImputer(strategy='mean')) to ensure a complete predictor set for the subsequent step. …”

Table 1_Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.docx by Alexander Tran (11038679)

“…We also conducted a multivariate linear regression using mental well-being and sociodemographic variables as predictors of consumption.…”

Data Sheet 1_Associations between obesity and arterial stiffness assessed by cardio-ankle vascular index in healthy children and adolescents.docx by Yuko Horikoshi (12202859)

“…Furthermore, multiple linear regression analyses after adjusting for possible obesity-related factors including age, sex, blood pressure, and heart rate, showed that all obesity parameters were independent predictors of CAVI.…”