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
31 - 40 of 204
- Inference for treatment effect parameters in potentially misspecified high-dimensional models(2021)
Authors: Oliver Dukes, Stijn Vansteelandt
Pages: 321 - 334 - A guideline for reporting mediation analyses of randomized trials and observational studies : the AGReMA statement(2021)
Authors: Hopin Lee, Aidan G. Cashin, Sarah E. Lamb, Sally Hopewell, Stijn Vansteelandt, Tyler J. VanderWeele, David P. MacKinnon, Gemma Mansell, Gary S. Collins, Robert M. Golub, et al.
Pages: 1045 - 1056 - Causal inference concepts applied to three observational studies in the context of vaccine development : from theory to practice(2021)
Authors: Emilia Gvozdenovic, Lucio Malvisi, Elisa Cinconze, Stijn Vansteelandt, Phoebe Nakanwagi, Emmanuel Aris, Dominique Rosillon
- Using generalized linear models to implement gU+2010estimation for survival data with timeU+2010varying confounding(2021)
Authors: Shaun R. Seaman, Ruth H. Keogh, Oliver Dukes, Stijn Vansteelandt
Pages: 3779 - 3790 - How much can we remedy very low learning levels in rural parts of low-income countries? Impact and generalizability of a multi-pronged para-teacher intervention from a cluster-randomized trial in the Gambia(2021)
Authors: Alex Eble, Chris Frost, Alpha Camara, Baboucarr Bouy, Momodou Bah, Maitri Sivaraman, Pei-Tseng Jenny Hsieh, Chitra Jayanty, Tony Brady, Piotr Gawron, et al.
- Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint(2021)
Authors: Kelly Van Lancker, Oliver Dukes, Stijn Vansteelandt
Pages: 4108 - 4121 - Stable inverse probability weighting estimation for longitudinal studies(2021)
Authors: Vahe Avagyan, Stijn Vansteelandt
Pages: 1046 - 1067 - Simulating longitudinal data from marginal structural models using the additive hazard model(2021)
Authors: Ruth H. Keogh, Shaun R. Seaman, Jon Michael Gran, Stijn Vansteelandt
Pages: 1526 - 1541 - Attributable mortality of ventilator-associated pneumonia : replicating findings, revisiting methods(2021)
Authors: Johan Steen, Stijn Vansteelandt, Liesbet De Bus, Pieter Depuydt, Bram Gadeyne, Dominique Benoit, Johan Decruyenaere
Pages: 830 - 837 - The importance of the urinary output criterion for the detection and prognostic meaning of AKI(2021)
Authors: Jill Vanmassenhove, Johan Steen, Stijn Vansteelandt, Pawel Morzywolek, Dominique Benoit