How Does BIC Compare to Other Model Selection Criteria?
BIC is often compared to the Akaike Information Criterion (AIC). Both criteria aim to select models that best explain the data while penalizing complexity. However, BIC has a stricter penalty for the number of parameters (\( \ln(n) \) vs. 2 in AIC). This makes BIC more conservative, often favoring simpler models compared to AIC. The choice between BIC and AIC can depend on the specific context and goals of the epidemiological study.
