Background Stillbirths and associated outcomes remain a significant concern in sub-Saharan Africa (SSA), with approximately 41% of global stillbirths. Design Our cross-sectional analysis included a ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

A large-scale study published in the Journal of Affective Disorders has found that adolescents who experienced more intense heatwaves were more likely to report symptoms of depression and anxiety. The ...

Two models were used in this study. Establishing binary logistic regression allowed researchers to study the marginal impacts of the predictor variables on the phenomenon studied (i.e., ORs) and ...

9. Worku, MG, Alamneh, TS, Tesema, GA, Alem, AZ, Tessema, ZT, Liyew, AM, et al. Minimum acceptable diet feeding practice and associated factors among children aged 6–23 months in East Africa: a ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Binary Logistic Regression: Binary logistic regression is employed when the dependent variable has only two outcomes—in this case, the dependent variable is referred to as a dichotomous variable.

2.2 SNP-wise approach The traditional SNP-wise approach involves applying regression models to evaluate the associations of each SNP individually to the outcome of interest. These regression models ...