4 citations · 11 across the 12 of their papers we have counts for
3 papers · 1 filter
On the use of G-computation in small randomized controlled trials with many covariates
Muluneh Alene, Kelly Van Lancker, Stijn Vansteelandt
In contemporary randomized controlled trials (RCTs), the number of patients is often small relative to the number of baseline covariates collected. In such settings, maximum likeli…
Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
Matthew Pryce, Karla Diaz-Ordaz, Ruth H. Keogh +1
In recent years, there has been growing interest in causal machine learning estimators for quantifying subject-specific effects of a binary treatment on time-to-event outcomes. Est…
On estimands in target trial emulation
Edoardo Efrem Gervasoni, Liesbet De Bus, Stijn Vansteelandt +1
The target trial framework enables causal inference from longitudinal observational data by emulating randomized trials initiated at multiple time points. Precision is often improv…