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Stijn Vansteelandt

Biometrics

Showing results (1-10 of 19) with videos related to

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Biometrics|June 19, 2025
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effectsStijn Vansteelandt
Biometrics|December 1, 2007
Conditional generalized estimating equations for the analysis of clustered and longitudinal dataSylvie Goetgeluk, Stijn Vansteelandt
Biometrics|July 26, 2017
Augmented and doubly robust G-estimation of causal effects under a Structural nested failure time modelKarl Mertens, Stijn Vansteelandt
Biometrics|September 20, 2012
Natural direct and indirect effects on the exposed: effect decomposition under weaker assumptionsStijn Vansteelandt, Tyler J Vanderweele
Biometrics|February 1, 2020
Doubly robust tests of exposure effects under high-dimensional confoundingOliver Dukes, Vahe Avagyan, Stijn Vansteelandt
Biometrics|June 23, 2023
Ensuring valid inference for Cox hazard ratios after variable selectionKelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
Biometrics|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|December 24, 2025
Variable importance measures for heterogeneous treatment effectsOliver J Hines, Karla Diaz-Ordaz, Stijn Vansteelandt
Biometrics|November 20, 2020
Nonlinear mediation analysis with high-dimensional mediators whose causal structure is unknownWen Wei Loh, Beatrijs Moerkerke, Tom Loeys, et al.
Biometrics|November 15, 2022
Instrumental variable estimation of the causal hazard ratioLinbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Biometrics|June 19, 2025
Towards efficient and interpretable assumption-lean generalized linear modeling of continuous exposure effectsStijn Vansteelandt
Biometrics|December 1, 2007
Conditional generalized estimating equations for the analysis of clustered and longitudinal dataSylvie Goetgeluk, Stijn Vansteelandt
Biometrics|July 26, 2017
Augmented and doubly robust G-estimation of causal effects under a Structural nested failure time modelKarl Mertens, Stijn Vansteelandt
Biometrics|September 20, 2012
Natural direct and indirect effects on the exposed: effect decomposition under weaker assumptionsStijn Vansteelandt, Tyler J Vanderweele
Biometrics|February 1, 2020
Doubly robust tests of exposure effects under high-dimensional confoundingOliver Dukes, Vahe Avagyan, Stijn Vansteelandt
Biometrics|June 23, 2023
Ensuring valid inference for Cox hazard ratios after variable selectionKelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
Biometrics|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|December 24, 2025
Variable importance measures for heterogeneous treatment effectsOliver J Hines, Karla Diaz-Ordaz, Stijn Vansteelandt
Biometrics|November 20, 2020
Nonlinear mediation analysis with high-dimensional mediators whose causal structure is unknownWen Wei Loh, Beatrijs Moerkerke, Tom Loeys, et al.
Biometrics|November 15, 2022
Instrumental variable estimation of the causal hazard ratioLinbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, et al.
Pageof 2