Model misspecification occurs when the statistical model used in an epidemiological study does not accurately represent the underlying data-generating process. This can happen due to incorrect assumptions, improper selection of variables, or erroneous functional forms. Misspecified models can lead to biased estimates, incorrect inferences, and ultimately, flawed public health decisions.
