Sufficient component cause simulations: an underutilized epidemiologic teaching tool.

ABSTRACT: Simulation studies are a powerful and important tool in epidemiologic teaching, especially for understanding causal inference. Simulations using the sufficient component cause framework can provide students key insights about causal mechanisms and sources of bias, but are not commonly used. To make them more accessible, we aim to provide an introduction and tutorial on developing and using these simulations, including an overview of translation from directed acyclic graphs and potential outcomes to sufficient component causal models, and a summary of the simulation approach. Using the applied question of the impact of educational attainment on dementia, we offer simple simulation examples and accompanying code to illustrate sufficient component cause-based simulations for four common causa

SUBMITTER: Kezios K 

PROVIDER: S-EPMC10906966 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature