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
11 - 20 of 204
- Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators(2022)
Authors: Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys, Stijn Vansteelandt
Pages: 982 - 999 - Selection bias when inferring the effect direction in Mendelian randomization(2022)
Authors: Sharon M. Lutz, Kirsten Voorhies, Ann C. Wu, John Hokanson, Stijn Vansteelandt, Christoph Lange
Pages: 341 - 343 - Target trial emulation on timing of start of renal replacement therapy in acute kidney injury : lessons learned(2022)Volume: 37
Authors: Johan Steen, Stijn Vansteelandt
Pages: I266 - I268 - Demystifying statistical learning based on efficient influence functions(2022)
Authors: Oliver Hines, Oliver Dukes, Karla Diaz-Ordaz, Stijn Vansteelandt
Pages: 292 - 304 - Estimation and interpretation of vaccine efficacy in COVID-19 randomized clinical trials(2022)
Authors: Hege Michiels, An Vandebosch, Stijn Vansteelandt
- On estimation and cross–validation of dynamic treatment regimes with competing risks(2022)
Authors: Pawel Morzywolek, Johan Steen, Wim Van Biesen, Johan Decruyenaere, Stijn Vansteelandt
Pages: 5258 - 5275 - The influence of unmeasured confounding on the MR Steiger approach(2022)
Authors: Sharon M. Lutz, Kirsten Voorhies, Ann Chen Wu, John Hokanson, Stijn Vansteelandt, Christoph Lange
Pages: 139 - 141 - Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks(2022)
Authors: Tat-Thang Vo, Hilary Davies-Kershaw, Ruth Hackett, Stijn Vansteelandt
Pages: 380 - 400 - Quality assessment practice in systematic reviews of mediation studies : results from an overview of systematic reviews(2022)
Authors: Tat-Thang Vo, Aidan Cashin, Cecilia Superchi, Pham Hien Trang Tu, Thanh Binh Nguyen, Isabelle Boutron, David MacKinnon, Tyler Vanderweele, Hopin Lee, Stijn Vansteelandt
Pages: 137 - 148 - Authors' reply to the discussion of U+2018AssumptionU+2010lean inference for generalised linear model parametersU+2019 by Vansteelandt and Dukes(2022)
Authors: Stijn Vansteelandt, Oliver Dukes
Pages: 729 - 739