Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

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 ...

Learn how to use logistic regression to predict the probability of a binary outcome based on explanatory variables, and understand the assumptions and interpretations of the model.

In binary logistic regression, data is first analyzed, then the probability of individual events is estimated by observing previous data, and then a binary classification model is created. An ...

LASSO-logistic regression analysis screened the Most valuable variables. Variables were selected using the LASSO binary logistic regression model in the training set. Optimal parameter selection ...

Background The UK government plans to extend the opening hours of general practices in England. The ‘extended hours access scheme’ pays practices for providing appointments outside core times (08:00 ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

A statistical model is autoregressive if it predicts future values based on past values (i.e., predicting future stock prices based on past performance).