4 citations · 11 across the 12 of their papers we have counts for
3 papers · 1 filter
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
Georgi Baklicharov, Kelly Van Lancker, Stijn Vansteelandt
Intercurrent events, such as treatment switching, rescue medication, dropout, or truncation by death, frequently complicate intention-to-treat analyses in randomized clinical trial…
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
Tong Chen, Stijn Vansteelandt, David Burgner +2
Causal mediation analysis examines causal pathways linking exposures to disease. The estimation of interventional effects, which are mediation estimands that overcome certain ident…
Robust Covariate Adjustment in Multi-Center Randomized Trials
Muluneh Alene, Stijn Vansteelandt, Kelly Van Lancker
Augmented inverse probability weighting and G-computation with canonical generalized linear models have become increasingly popular for estimating the average treatment effect (ATE…