Researcher
Stijn Vansteelandt
- Keywords:Statistical methodology, Causal inference, Machine learning, Semi-parametric inference
- Disciplines:Probability theory, Statistics and numerical methods not elsewhere classified, Statistics, Epidemiology
Affiliations
- Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From1 Oct 1998 → Today
Projects
1 - 10 of 18
- Development of a data-informed causal expert system for personalized treatment recommendationsFrom1 Sep 2022 → TodayFunding: BOF - postdoctoral mandates
- Data-adaptive causal inference under weak assumptionsFrom1 Nov 2021 → TodayFunding: FWO junior postdoctoral fellowship
- Causal inference in observational HIV/AIDS studies.From1 Oct 2021 → TodayFunding: BOF - doctoral mandates
- Multilevel causal mediation analysis of multiple longitudinal mediators with unknown causal structureFrom15 Oct 2020 → 30 Sep 2022Funding: BOF - postdoctoral mandates
- Optimal causal learning using electronic health recordsFrom1 Jan 2020 → 31 Aug 2021Funding: BOF - postdoctoral mandates
- Methods in Research on Research (MiRoR) / Estimation of causal effects from observational studies: how results obtained from different causal inference methods can be integrated in a meta-analyses approaFrom17 Oct 2019 → 16 Apr 2020Funding: BOF - doctoral mandates
- Leveraging Big Data To Improve Healthcare Decision-MakingFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Honest data-adaptive inference for treatment effectsFrom1 Oct 2017 → 30 Sep 2021Funding: BOF - Doctoral projects
- Center for StatisticsFrom1 Feb 2017 → 30 Nov 2022Funding: BOF - Doctoral projects
- Dealing with multiple mediators in causal mediation analysisFrom1 Jan 2017 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
Publications
1 - 10 of 204
- Assumption-lean cox regression(2024)
Authors: Stijn Vansteelandt, Oliver Dukes, Kelly Van Lancker, Torben Martinussen
Pages: 475 - 484 - Dealing with time‐dependent exposures and confounding when defining and estimating attributable fractions : revisiting estimands and estimators(2024)
Authors: Johan Steen, Pawel Morzywolek, Wim Van Biesen, Johan Decruyenaere, Stijn Vansteelandt
Pages: 912 - 934 - Coaching doctors to improve ethical decision-making in adult hospitalised patients potentially receiving excessive treatment : study protocol for a stepped wedge cluster randomised controlled trial(2023)
Authors: Dominique Benoit, Stijn Vanheule, Frank Manesse, Frederik Anseel, Geert De Soete, Katrijn Goethals, An Lievrouw, Stijn Vansteelandt, Erik De Haan, Ruth Piers, et al.
- Rejoinder to discussions on 'Instrumental variable estimation of the causal hazard ratio'(2023)
Authors: Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, Stijn Vansteelandt
Pages: 564 - 568 - Causal inference in survival analysis using longitudinal observational data : sequential trials and marginal structural models(2023)
Authors: Ruth H. Keogh, Jon Michael Gran, Shaun R. Seaman, Gwyneth Davies, Stijn Vansteelandt
Pages: 2191 - 2225 - Instrumental variable estimation of the causal hazard ratio(2023)
Authors: Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, Stijn Vansteelandt
Pages: 539 - 550 - The role of loneliness on hearing ability and dementia : a novel mediation approach(2023)
Authors: Ruth A. Hackett, Tat Thang Vo, Stijn Vansteelandt, Hilary Davies-Kershaw
Pages: 2834 - 2844 - Synthetic data : can we trust statistical estimators?(2023)
Authors: Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
Number of pages: 1 - Semiparametric estimation of probabilistic index models : efficiency and bias(2023)
Authors: Karel Vermeulen, Jan De Neve, Gustavo Amorim, Olivier Thas, Stijn Vansteelandt
Pages: 1003 - 1024 - A statistical test to reject the structural interpretation of a latent factor model(2022)
Authors: Tyler J. VanderWeele, Stijn Vansteelandt
Pages: 2032 - 2054