148 citations · 165 across the 2 of their papers we have counts for
3 papers
stat.ME2017
Instrumental variables estimation with competing risk data
Torben Martinussen, Stijn Vansteelandt
Time-to-event analyses are often plagued by both -- possibly unmeasured -- confounding and competing risks. To deal with the former, the use of instrumental variables for effect es…
stat.ME2017★ 17 cited
Honest data-adaptive inference for the average treatment effect under model misspecification using penalised bias-reduced double-robust estimation
Vahe Avagyan, Stijn Vansteelandt
The presence of confounding by high-dimensional variables complicates estimation of the average effect of a point treatment. On the one hand, it necessitates the use of variable se…
stat.ME2015★ 148 cited
Structural Nested Models and G-estimation: The Partially Realized Promise
Stijn Vansteelandt, Marshall Joffe
Structural nested models (SNMs) and the associated method of G-estimation were first proposed by James Robins over two decades ago as approaches to modeling and estimating the join…