A quantitative measure of treatment response in recent-onset type 1 diabetes.

This paper illustrates the use of the QR, as a measure of the magnitude of treatment effect at the aggregate and subject-level. We show that the QR distribution by treatment group provides a better sense of the treatment effect than simply giving the mean estimates. Using the QR in its continuous form is shown to have higher statistical power in comparison with dichotomized categorization.