The researchers found that using a partial likelihood method can lead to more efficient estimations in a specific type of statistical model. This method involves replacing certain unknown values with estimates from the full dataset, resulting in better predictions. This surprising discovery has important practical implications for improving the accuracy of statistical analyses.