4 citations · 7 across the 4 of their papers we have counts for
4 papers
Simulating longitudinal data from marginal structural models using the additive hazard model
Ruth H. Keogh, Shaun R. Seaman, Jon Michael Gran +1
Observational longitudinal data on treatments and covariates are increasingly used to investigate treatment effects, but are often subject to time-dependent confounding. Marginal s…
Improving interim decisions in randomized trials by exploiting information on short-term outcomes and prognostic baseline covariates
Kelly Van Lancker, An Vandebosch, Stijn Vansteelandt
Conditional power calculations are frequently used to guide the decision whether or not to stop a trial for futility or to modify planned sample size. These ignore the information…
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-…
Instrumental variables estimation of exposure effects on a time-to-event response using structural cumulative survival models
T. Martinussen, S. Vansteelandt, E. J. Tchetgen Tchetgen +1
The use of instrumental variables for estimating the effect of an exposure on an outcome is popular in econometrics, and increasingly so in epidemiology. This increasing popularity…