Researcher
Stijn Vansteelandt
- Keywords:Statistical methodology, Causal inference, Machine learning, Semi-parametric inference
- Disciplines:Numerical methods not elsewhere classified, Probability theory, Statistics not elsewhere classified, Epidemiology
Affiliations
- Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From1 Oct 1998 → Today
Projects
1 - 10 of 21
- BOF staff support in the framework of an ERC-GrantFrom1 Oct 2024 → TodayFunding: BOF - various
- Assumption-Lean (Causal) Modelling and Estimation: A Paradigm Shift from Traditional Statistical ModellingFrom1 Oct 2024 → TodayFunding: HORIZON.1.1 - European Research Council (ERC)
- Assumption-lean causal modelingFrom1 Jan 2024 → TodayFunding: BOF - projects
- 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)
Publications
1 - 10 of 217
- Counterfactual mediation analysis with a latent class exposure(2024)
Authors: Gemma Hammerton, Jon Heron, Katie Lewis, Kate Tilling, Stijn Vansteelandt
Pages: 818 - 840 - The potential impact fraction of population weight reduction scenarios on non-communicable diseases in Belgium : application of the g-computation approach(2024)
Authors: Ingrid Pelgrims, Brecht Devleesschauwer, Stefanie Vandevijvere, Eva M. De Clercq, Johan van der Heyden, Stijn Vansteelandt
- 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 - The real deal behind the artificial appeal : inferential utility of tabular synthetic data(2024)
Authors: Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Stijn Vansteelandt, Thomas Demeester
Number of pages: 1 - Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation(2024)
Authors: Erin E. Gabriel, Michael C. Sachs, Torben Martinussen, Ingeborg Waernbaum, Els Goetghebeur, Stijn Vansteelandt, Arvid Sjölander
Pages: 534 - 547 - An application of causal inference in vitreomacular traction : how does the effect of ocriplasmin on functional and patient-reported outcomes occur(2023)Volume: 64
Authors: Benedicte Lescrauwaet, Luc Duchateau, Stijn Vansteelandt, SriniVas Sadda, Timothy Jackson
Number of pages: 1 - Preface(2023)
Authors: Jialiang Li, Stijn Vansteelandt
Pages: 1 - 3 - 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, An Lievrouw, Stijn Vansteelandt, Erik De Haan, Ruth Piers, [missing] CODE Study Grp
- 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