1 citations · 1 across the 4 of their papers we have counts for
5 papers
postcard: An R Package for Marginal Effect Estimation with or without Prognostic Score Adjustment
Mathias Lerbech Jeppesen, Emilie Højbjerre-Frandsen
Covariate adjustment is a widely used technique in randomized clinical trials (RCTs) for improving the efficiency of treatment effect estimators. By adjusting for predictive baseli…
"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
Emilie Højbjerre-Frandsen, Alejandro Schuler
Adjustment for ``super'' or ``prognostic'' composite covariates has become more popular in randomized trials recently. These prognostic covariates are often constructed from histor…
A Non-Parametric Sensitivity Analysis for Bounding Bias in Hybrid Control Trials
Alissa Gordon, Emilie Højbjerre-Frandsen, Alejandro Schuler
We study hybrid control trials (HCTs), in which a randomized controlled trial (RCT) is augmented with external control patients. Existing approaches for HCTs typically assume condi…
Powering RCTs for marginal effects with GLMs using prognostic score adjustment
Emilie Højbjerre-Frandsen, Mark J. van der Laan, Alejandro Schuler
In randomized clinical trials (RCTs), the accurate estimation of marginal treatment effects is crucial for determining the efficacy of interventions. Enhancing the statistical powe…
Prognostic Adjustment with Efficient Estimators to Unbiasedly Leverage Historical Data in Randomized Trials
Lauren D. Liao, Emilie Højbjerre-Frandsen, Alan E. Hubbard +1
Although randomized controlled trials (RCTs) are a cornerstone of comparative effectiveness, they typically have much smaller sample size than observational studies because of fina…