Predictive modeling of medication adherence in post myocardial infarction patients: a bayesian approach using beta-regression.

Aims: Predicting medication adherence in post myocardial infarction (MI) patients has the potential to improve patient outcomes. Most adherence prediction models dichotomize adherence metrics and status. This study aims to develop medication adherence prediction models that avoid dichotomizing adherence metrics and to test whether a simplified model including only 90-days adherence data would perform similarly to a full multivariable model.