The omission of relevant variables can lead to confounding, where an apparent association between two variables is actually influenced by a third variable. This can distort the true relationship and lead to incorrect conclusions. For example, in studying the association between exercise and heart disease, failing to account for diet can lead to incorrect estimates of the effect of exercise.
