Estimating quantile treatment effect on the original scale of the outcome variable: a case study of common cold treatments

The BQTE method enhances the interpretability of QTEs by presenting results on the outcome's original scale. It provides a nuanced understanding of how the average treatment effect varies across the distribution. BQTE is particularly suited for analyzing continuous clinical outcomes such as illness duration or hospital stay and offers a valuable complement to the standard effect size measures in individual-patient data meta-analysis and clinical trial reporting.