no code implementations • 24 Dec 2020 • David Walsh, Alejandro Schuler, Diana Hall, Jon Walsh, Charles Fisher
Here we go further, utilizing a Bayesian framework that combines prognostic covariate adjustment with an empirical prior distribution learned from the predictive performances of the prognostic model on past trials.
no code implementations • 17 Dec 2020 • Alejandro Schuler, David Walsh, Diana Hall, Jon Walsh, Charles Fisher
When those conditions are not met, prognostic covariate adjustment is still more efficient than raw covariate adjustment and the gain in efficiency is proportional to a measure of the predictive accuracy of the prognostic model above and beyond the linear relationship with the raw covariates.
