3 citations · 5 across the 3 of their papers we have counts for
4 papers
Principled Selection of Baseline Covariates to Account for Censoring in Randomized Trials with a Survival Endpoint
Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
The analysis of randomized trials with time-to-event endpoints is nearly always plagued by the problem of censoring. As the censoring mechanism is usually unknown, analyses typical…
Assumption-lean inference for generalised linear model parameters
Stijn Vansteelandt, Oliver Dukes
Inference for the parameters indexing generalised linear models is routinely based on the assumption that the model is correct and a priori specified. This is unsatisfactory becaus…
Uniformly valid confidence intervals for conditional treatment effects in misspecified high-dimensional models
Oliver Dukes, Stijn Vansteelandt
Eliminating the effect of confounding in observational studies typically involves fitting a model for an outcome adjusted for covariates. When, as often, these covariates are high-…
Doubly robust tests of exposure effects under high-dimensional confounding
Oliver Dukes, Vahe Avagyan, Stijn Vansteelandt
After variable selection, standard inferential procedures for regression parameters may not be uniformly valid; there is no finite-sample size at which a standard test is guarantee…