Stijn Vansteelandt

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Articles (21)

Collaborators (9)

Brecht Devleesschauwer

Visiting professor risk analysis

Ghent University

Karla DiazOrdaz

University College London

UNITED KINGDOM

Michael Sachs

Københavns Universitet

Timothy Jackson

King’s College London

UNITED KINGDOM

Wim Van Biesen

Ghent University Hospital

Johan Steen

Ghent University Hospital

Erin Gabriel

Associate Professor

Københavns Universitet

Gustavo Amorim

Research Assist Professor

Vanderbilt University Medical Center

UNITED STATES

Gwyneth Davies

UKRI Future Leaders Fellow/ Clinical Associate Professor

University College London Institute of Child Health

UNITED KINGDOM

Stijn Vansteelandt

Research Interests

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Contact this professor

Articles (21)

Collaborators (9)

Brecht Devleesschauwer

Karla DiazOrdaz

Michael Sachs

Timothy Jackson

Wim Van Biesen

Johan Steen

Erin Gabriel

Gustavo Amorim

Gwyneth Davies

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Stijn Vansteelandt

Research Interests

Explore related searches

Contact this professor

Articles (21)

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data

Correction: Cannabis use is not associated with altered levels of physical activity: evidence from the repeated cross‑sectional Belgian Health Interview Survey

Cannabis use is not associated with altered levels of physical activity: evidence from the repeated cross-sectional Belgian Health Interview Survey

The Importance of Sensitivity Analyses for the MR Steiger Approach

Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding

Discussion of “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching”

Instrumental Variable Methods to Target Hypothetical Estimands With Longitudinal Repeated Measures Data: Application to the STEP 1 Trial

Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation

Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands

A Causal Inference Approach to Mediation Analysis in Vitreomacular Traction: How Much Does Traction Resolution Mediate Functional Outcomes?

Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias

Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural models

Dealing with time‐dependent exposures and confounding when defining and estimating attributable fractions—Revisiting estimands and estimators

Ensuring valid inference for Cox hazard ratios after variable selection

Comment on” Estimands and their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions”

The health and economic burden of musculoskeletal disorders in Belgium from 2013 to 2018

Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

On estimation and cross‐validation of dynamic treatment regimes with competing risks

Assumption-Lean Cox Regression

Demystifying Statistical Learning Based on Efficient Influence Functions

High-dimensional inference for the average treatment effect under model misspecification using penalized bias-reduced double-robust estimation

Collaborators (9)

Brecht Devleesschauwer

Karla DiazOrdaz

Michael Sachs

Timothy Jackson

Wim Van Biesen

Johan Steen

Erin Gabriel

Gustavo Amorim

Gwyneth Davies

How do I reach out?

Meet Kite AI