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
41 - 50 of 204
- Prediction of hospital bed capacity during the COVID-19 pandemic(2021)
Authors: Mieke Deschepper, Simon Malfait, Dominique Benoit, Stijn Vansteelandt
- Subtleties in the interpretation of hazard contrasts(2020)
Authors: Torben Martinussen, Stijn Vansteelandt, Per Kragh Andersen
Pages: 833 - 855 - Longitudinal mediation analysis using natural effect models(2020)
Authors: Murthy N. Mittinty, Stijn Vansteelandt
Pages: 1427 - 1435 - Comment : on the potential for misuse of outcome-wide study designs, and ways to prevent it(2020)
Authors: Stijn Vansteelandt, Oliver Dukes
Pages: 467 - 471 - Ethical climate and intention to leave among critical care clinicians : an observational study in 68 intensive care units across Europe and the United States(2020)
Authors: Victoria Metaxa, Anna K. Reyners, Katerina Rusinova, Hanne I. Jensen, J. Malmgren, Michael Darmon, Daniel Talmor, Anne-Pascale Meert, Laura Cancelliere, László Zubek, et al.
Pages: 46 - 56 - The obesity paradox in critically ill patients : a causal learning approach to a casual finding(2020)
Authors: Johan Steen, Kirsten Colpaert, Dominique Benoit, Johan Decruyenaere, Stijn Vansteelandt
- Causal graphs for the analysis of genetic cohort data(2020)
Authors: Oliver Hines, Karla Diaz-Ordaz, Stijn Vansteelandt, Yalda Jamshidi
Pages: 369 - 378 - Estimation of controlled direct effects in longitudinal mediation analyses with latent variables in randomized studies(2020)
Authors: Wen Wei Loh, Beatrijs Moerkerke, Geert Crombez, Stijn Vansteelandt
Pages: 763 - 785 - Authors' reply to 'Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism'(2020)
Authors: Arvid Sjölander, Stijn Vansteelandt
Pages: 187 - 191 - Adjusting for timeU+2010varying confounders in survival analysis using structural nested cumulative survival time models(2020)
Authors: Shaun Seaman, Oliver Dukes, Ruth Keogh, Stijn Vansteelandt
Pages: 472 - 483