To avoid overmatching, researchers should carefully select matching variables that are true confounders, meaning they are associated with both the exposure and the outcome. It is essential to distinguish between confounders and variables that are merely associated with the exposure. Sensitivity analyses can also be conducted to assess the impact of different matching strategies.
