Estimating Periodontitis Susceptibility Cases for Epidemiological Studies with Multiple Imputation.

Abstract

Our proposed estimate of periodontitis susceptibility cases addresses the issue of missing teeth, offering an innovative solution through a generative missing data imputation model. The implications of our findings extend to fostering more robust investigations into the relationships between periodontal health and systemic diseases, thereby offering valuable insights to clinicians for informed decision-making. Moreover, the study's capacity to shape clinical practices and interventions in public health will further fortify health policy strategies.