Time lag bias typically occurs in studies comparing treatments with different durations of follow-up. For instance, if one treatment is observed for a longer period than another, the outcomes may appear more favorable simply because there was more time for the effects to manifest. This can lead to erroneous inferences about the effectiveness or safety of a treatment.
