Bigger Data, Bigger Problems

Clinical studies frequently lack the ability to reliably answer their research questions because of inadequate sample sizes. Underpowered studies are subject to multiple sources of bias, may not represent the larger population, and are regularly unable to detect differences between treatment groups. Most importantly, an underpowered study can lead to incorrect conclusions. Big data can be used to address many of these concerns, enabling …