The aim of this study was to explore the correlation between the parameters associated with the prevention and management of myopia and cylinder power (CP) progression in individuals who wear defocus ...

The study examined how various lifestyle and health-related factors affect the intensity of LUTS/BPH symptoms in elderly ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

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 ...

Based on obtained findings, a stepwise binary logistic regression analysis was performed to determine the extent to which LASSI-L variables could distinguish between CU p-tau 217 - and aMCI p-tau 217 ...

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.

Logistic regression was developed starting in the late 1930s as an effort to improve a binary classification technique called probit regression. Even though several more recently developed techniques, ...