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)

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

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

“…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)

“…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. …”

The relative importance by dominance analysis. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

Summary results of the samples. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

Description of digital inclusion. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

CSS data for this study. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”

Classification of hand grip strength. 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. …”

Rating scale for functional severity [28]. 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. …”

Regression model coefficients. 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. …”

ICOPE screening positive participant’s responses. 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. …”

WHO BMI classification for adults. 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. …”

Performance of different methods for controlling confounding in Felsenstein’s worst case. by Joshua G. Schraiber (8027060)

Random forest analysis. by Emir Matpan (21655811)

Supplementary Material for: The Impact of Changes in Fasting Plasma Glucose Before and After Heart Failure Diagnosis on All-Cause Mortality by figshare admin karger (2628495)

“…Methods: A prospective cohort study based on the Kailuan study included 3533 Patients with HF after excluding those with prior HF, malignancies, or missing FPG data. FPG levels were measured before and after HF diagnosis and categorized into five groups: significant decrease (Q1), mild decrease (Q2), stable (Q3), mild increase (Q4), and significant increase (Q5). …”

Supplementary Material for: Preoperative prediction of microvascular invasion in intrahepatic cholangiocarcinoma and its prognostic implications: A multicenter study by figshare admin karger (2628495)

“…Stratifying patients by MVI risk—low (no predictors), intermediate (1–3 predictors), and high (4 predictors)— revealed a significant decrease in both recurrence-free and overall survival rates (p<0.001), along with a corresponding increase in early recurrence rates (p<0.001) as the risk level increased. …”

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).…”

Data Sheet 1_Diagnostic utility of hematological and biochemical markers for cystic echinococcosis in Tibetan patients of Sichuan, China.pdf by Meng Ma (2075878)

“…Conversely, there was a decrease in lymphocyte percentage, hemoglobin concentration, mean corpuscular volume, and hematocrit. (2) Prothrombin time levels were markedly elevated beyond normal reference values, with prolonged prothrombin time identified as a significant predictor for CE. (3) The area under the receiver operating characteristic curve (AUC) for predicting CE based on prothrombin time was 0.969, while the AUC for predicting CE using a combination of prothrombin time and eosinophil percentage was 0.982.…”