Fixed-effects model revolutionizes meta-analysis for small study sizes.
The fixed-effects model is the best choice for combining results from a small number of studies in a meta-analysis. It avoids making assumptions that can lead to misleading conclusions. A new estimator for calculating the average effect in this model has been proposed, showing its benefits in both simulations and real examples.