4 citations · 6 across the 6 of their papers we have counts for
5 papers · 1 filter
Two Stage Least Squares with Time-Varying Instruments: An Application to an Evaluation of Treatment Intensification for Type-2 Diabetes
Daniel Tompsett, Stijn Vansteelandt, Richard Grieve +2
As longitudinal data becomes more available in many settings, policy makers are increasingly interested in the effect of time-varying treatments (e.g. sustained treatment strategie…
Instrumental Variable methods to target Hypothetical Estimands with longitudinal repeated measures data: Application to the STEP 1 trial
Jack Bowden, Jesper Madsen, Bryan Goldman +3
The STEP 1 randomized trial evaluated the effect of taking semaglutide vs placebo on body weight over a 68 week duration. As with any study evaluating an intervention delivered ove…
Assumption-Lean Quantile Regression
Georgi Baklicharov, Christophe Ley, Vanessa Gorasso +2
Quantile regression is a powerful tool for detecting exposure-outcome associations given covariates across different parts of the outcome's distribution, but has two major limitati…
Orthogonal prediction of counterfactual outcomes
Stijn Vansteelandt, Paweł Morzywołek
Orthogonal meta-learners, such as DR-learner, R-learner and IF-learner, are increasingly used to estimate conditional average treatment effects. They improve convergence rates rela…
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…