Statistical distribution and categorization of continuous modifiable variables - A simulation approach

Afolabi Nathanael, Prof. Oyeyemi Gafar

Categorization, Sensitivity, Predictive power, Cut-points.

This study examines the statistical distribution and categorization of continuous modifiable variables. The research focuses on recognizing the importance of statistical distribution properties needed for categorization in data analysis for decision making. By examining the predictive power, sensitivity and specificity of categorized and uncategorized factors, decisions on optimal cut-points can be made for important clinical interventions to improve health outcomes.