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Biometrics|July 26, 2017
Augmented and doubly robust G-estimation of causal effects under a Structural nested failure time modelKarl Mertens, Stijn VansteelandtLifetime Data Analysis|October 13, 2009
Adjusting for time-varying confounding in the subdistribution analysis of a competing riskMaarten Bekaert, Stijn Vansteelandt, Karl MertensBiostatistics (Oxford, England)|May 27, 2008
Marginal structural models for partial exposure regimesStijn Vansteelandt, Karl Mertens, Carl Suetens, et al.Biometrics|June 19, 2025
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effectsStijn VansteelandtEpidemiology (Cambridge, Mass.)|October 7, 2009
Estimating direct effects in cohort and case-control studiesStijn VansteelandtBiostatistics (Oxford, England)|August 20, 2010
Doubly robust estimation of attributable fractionsArvid Sjölander, Stijn VansteelandtMultivariate Behavioral Research|October 13, 2016
Rejoinder: Remaining Challenges in Investigating Grade-Retention EffectivenessMachteld Vandecandelaere, Stijn VansteelandtStatistical Methods in Medical Research|August 7, 2019
How to obtain valid tests and confidence intervals after propensity score variable selection?Oliver Dukes, Stijn VansteelandtHuman Genetics|August 7, 2012
Causation and causal inference for genetic effectsStijn Vansteelandt, Christoph LangeBiometrics|December 1, 2007
Conditional generalized estimating equations for the analysis of clustered and longitudinal dataSylvie Goetgeluk, Stijn VansteelandtPageof 18