Several key factors influence the power of an epidemiological study:
Sample Size: Larger sample sizes generally increase power. Effect Size: Larger effects are easier to detect and increase power. Significance Level: Lower significance levels (e.g., 0.01 instead of 0.05) decrease power. Variability: Less variability in the data increases power. Study Design: Certain designs, such as matched case-control studies, can increase power.
