Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning

Modelling seizure-related predictors of epilepsy diagnostic gap in two urban informal settlements of Nairobi using machine learning

Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach

Background Diabetes is a chronic disease characterized by elevated blood gluco

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning

The two-phase sampling design is a cost-effective strategy widely used in public health research. An

Estimating the weighted prevalence of anxiety disorders in breast cancer patients using a Two-stage approach

Background: A two-stage survey is useful when the actual diagnostic interview is time-consuming and

Prevalence of epilepsy in Rwanda: a national cross‐sectional survey

Summary Objective  To estimate the prevalence of epilepsy in Rwanda, as part of a survey of muscu

Determinants of Adolescent Obesity Prevalence: A Statistical and Machine Learning Approach

Obesity is a chronic, long-term medical condition that progressively worsens over time. It is a glob