Random effects models consider both between-study and within-study variability. The assumption is that studies are a random sample from the universe of all possible studies. With a random effects model, the researcher answers the question: "Will the treatment produce benefit ‘on average’?" The DerSimonian Laird statistic is based on a random effects model.