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Stijn Vansteelandt

Stijn Vansteelandt

D-Index & Metrics

Mathematics

D-Index
53
Citations
13399
World Ranking
892
National Ranking
13

Overview

Stijn Vansteelandt is affiliated with Ghent University in Belgium and has contributed extensively to the fields of mathematics and statistics, particularly in areas related to statistics and probability. Their work spans several interconnected subfields, including economics and econometrics, public health, environmental and occupational health, genetics, and artificial intelligence.

The scientist's research covers main topics such as advanced causal inference techniques, statistical methods and inference, health systems, economic evaluations and quality of life, statistical methods in clinical trials, statistical methods and Bayesian inference, genetic associations and epidemiology, and child and adolescent psychosocial and emotional development.

Vansteelandt has coauthored publications with several frequent collaborators including Brecht Devleesschauwer, Oliver Dukes, Johan Decruyenaere, Stefanie Vandevijvere, and Johan Steen. These partnerships have resulted in numerous publications across diverse venues.

Key publication venues where Vansteelandt's work has appeared include:

  • arXiv (Cornell University)
  • Statistics in Medicine
  • Biometrics
  • BMC Medical Research Methodology
  • Statistics in Biopharmaceutical Research

Notable recent papers authored or coauthored by Vansteelandt include:

  • "A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies," 2021, JAMA
  • "Antimicrobial de-escalation in the critically ill patient and assessment of clinical cure: the DIANA study," 2020, Intensive Care Medicine
  • "Subtleties in the interpretation of hazard contrasts," 2020, Lifetime Data Analysis
  • "Demystifying Statistical Learning Based on Efficient Influence Functions," 2022, The American Statistician
  • "How do psychologically based interventions for chronic musculoskeletal pain work? A systematic review and meta-analysis of specific moderators and mediators of treatment," 2022, Clinical Psychology Review

Best Publications

  • Mediation Analysis with Multiple Mediators

    Tyler VanderWeele;Stijn Vansteelandt

  • Odds Ratios for Mediation Analysis for a Dichotomous Outcome

    Tyler J. VanderWeele;Stijn Vansteelandt

  • Conceptual issues concerning mediation, interventions and composition

    Tyler J. Vanderweele;Stijn Vansteelandt

  • A Simple Unified Approach for Estimating Natural Direct and Indirect Effects

    Theis Lange;Stijn Vansteelandt;Maarten Bekaert

  • Attributable mortality of ventilator-associated pneumonia: a reappraisal using causal analysis.

    Maarten Bekaert;Jean-Francois Timsit;Stijn Vansteelandt;Pieter Depuydt

  • A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies: The AGReMA Statement.

    Hopin Lee;Hopin Lee;Aidan G. Cashin;Aidan G. Cashin;Sarah E. Lamb;Sarah E. Lamb;Sally Hopewell

  • Effect decomposition in the presence of an exposure-induced mediator-outcome confounder

    Tyler J. VanderWeele;Stijn Vansteelandt;James M. Robins

  • Causal mediation analysis with multiple mediators.

    RM Daniel;BL De Stavola;SN Cousens;Stijn Vansteelandt

  • Interventional Effects for Mediation Analysis with Multiple Mediators.

    Stijn Vansteelandt;Rhian M. Daniel

  • Medflex: An R Package for Flexible Mediation Analysis Using Natural Effect Models

    Johan Steen;Tom Loeys;Beatrijs Moerkerke;Stijn Vansteelandt

  • A comparison of multiple imputation and doubly robust estimation for analyses with missing data

    James R. Carpenter;Michael G. Kenward;Stijn Vansteelandt

  • Structural nested models and G-estimation: the partially realized promise

    Stijn Vansteelandt;Marshall M. Joffe

  • Instrumental variable estimation in a survival context.

    Eric J. Tchetgen Tchetgen;Stefan Walter;Stijn Vansteelandt;Torben Martinussen

  • On model selection and model misspecification in causal inference

    Stijn Vansteelandt;Maarten Bekaert;Gerda Claeskens

  • Causal inference with generalized structural mean models

    Stijn Vansteelandt;Els Goetghebeur

  • Estimating direct effects in cohort and case-control studies.

    Stijn Vansteelandt

  • Imputation Strategies for the Estimation of Natural Direct and Indirect Effects

    Stijn Vansteelandt;Maarten Bekaert;Theis Lange

  • On regression adjustment for the propensity score.

    Stijn Vansteelandt;RM Daniel

  • Ignorance and uncertainty regions as inferential tools in a sensitivity analysis

    Stijn Vansteelandt;Els Goetghebeur;Michael G. Kenward;Geert Molenberghs

  • Bias-Reduced Doubly Robust Estimation

    Karel Vermeulen;Stijn Vansteelandt

  • Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies

    T Verplancke;S Van Looy;D Benoit;S Vansteelandt

Frequent Co-Authors

Tyler J. VanderWeele
Tyler J. VanderWeele Harvard University
Yves Van de Peer
Yves Van de Peer Ghent University
Christoph Lange
Christoph Lange University of Lübeck
Eelko Hak
Eelko Hak University of Groningen
Elie Azoulay
Elie Azoulay Université Paris Cité
James M. Robins
James M. Robins Harvard University
Daniel Talmor
Daniel Talmor Beth Israel Deaconess Medical Center
Eric J. Tchetgen Tchetgen
Eric J. Tchetgen Tchetgen University of Pennsylvania
Edwin K. Silverman
Edwin K. Silverman Brigham and Women's Hospital
Michael Darmon
Michael Darmon Université Paris Cité

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