Making clinical trials more inclusive with covariate adjustment

Companies can walk the walk better on making clinical trials more inclusive if they take advantage of analyses that can loosen exclusion criteria, without sacrificing power.

More advanced ways of accounting for baseline differences among patients can help them deliver on the promise of greater trial diversity. The idea is to use data science to improve covariate adjustment — an analytical approach that accounts for baseline patient variables, such as demographics or disease characteristics, when calculating treatment effect...