4 papers
crossfit: A Graph-Based Cross-Fitting Engine in R
Etienne Peyrot, François Petit
Cross-fitting is a key ingredient in many semiparametric estimation procedures, such as double/debiased machine learning (DML), enabling valid estimation of low-dimensional targets…
Evaluating virtual-control-augmented trials for reproducing treatment effect from original RCTs
Alex Fernandes, Raphaël Porcher, Viet-Thi Tran +1
This study investigates the use of virtual patient data to augment control arms in randomised controlled trials (RCTs). Using data from the IST and IST3 trials, we simulated RCTs i…
Estimating Complier Average Causal Effects with Mixtures of Experts
François Grolleau, Céline Béji, Raphaël Porcher +1
Treatment non-compliance, where individuals deviate from their assigned experimental conditions, frequently complicates the estimation of causal effects. To address this, we introd…
Optimal treatment regimes for the net benefit of a treatment
François Petit, Gérard Biau, Raphaël Porcher
We develop a mathematical framework to define an optimal individualized treatment rule (ITR) within the context of prioritized outcomes in a randomized controlled trial. Our optima…