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Biometrics|February 1, 2020
Doubly robust tests of exposure effects under high-dimensional confoundingOliver Dukes, Vahe Avagyan, 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 VansteelandtAmerican Journal of Epidemiology|March 15, 2018
A Note on G-Estimation of Causal Risk RatiosOliver Dukes, Stijn VansteelandtBiostatistics (Oxford, England)|October 14, 2017
Survivor bias in Mendelian randomization analysisStijn Vansteelandt, Oliver Dukes, Torben MartinussenBiometrics|June 23, 2023
Ensuring valid inference for Cox hazard ratios after variable selectionKelly Van Lancker, Oliver Dukes, Stijn VansteelandtStatistics in Medicine|May 12, 2021
Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpointKelly Van Lancker, Oliver Dukes, Stijn VansteelandtBiometrics|September 29, 2019
Adjusting for time-varying confounders in survival analysis using structural nested cumulative survival time modelsShaun Seaman, Oliver Dukes, Ruth Keogh, et al.Biometrics|August 23, 2018
On doubly robust estimation of the hazard differenceOliver Dukes, Torben Martinussen, Eric J Tchetgen Tchetgen, et al.Statistics in Medicine|May 4, 2021
Using generalized linear models to implement g-estimation for survival data with time-varying confoundingShaun R Seaman, Ruth H Keogh, Oliver Dukes, et al.Biometrics|June 19, 2025
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effectsStijn VansteelandtPageof 18