Model specification is vital because an incorrectly specified model can lead to biased estimates and incorrect conclusions. For instance, omitting important variables or including unnecessary ones can distort the relationship between the exposure and the outcome. Therefore, careful consideration of model specification helps in minimizing bias and improving the validity of the study findings.
