Stijn Vansteelandt

University Name

Belgium

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Research Interests

Biostatistics

80%

Statistics

60%

Causal Inference

40%

Statistical Inference

30%

Propensity Score Analysis

30%

Case-control Study

30%

Estimation Theory

20%

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Articles21

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

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Year:

2025

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

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2025

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

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Year:

2025

The Importance of Sensitivity Analyses for the MR Steiger Approach

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2025

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

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Year:

2025

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

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Year:

2025

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

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2025

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

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Year:

2024

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

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Year:

2024

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

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Year:

2024

Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias

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Year:

2023

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

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Year:

2023

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

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Year:

2023

Ensuring valid inference for Cox hazard ratios after variable selection

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Year:

2023

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”

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2022

Assumption-Lean Cox Regression

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Year:

2022

Demystifying Statistical Learning Based on Efficient Influence Functions

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Year:

2022

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

Article Link

Year:

2022

Collaborators9

Brecht Devleesschauwer

Visiting professor risk analysis

Ghent University

BELGIUM

Karla DiazOrdaz

Professor

University College London

UNITED KINGDOM

Michael Sachs

Københavns Universitet

DENMARK

Timothy Jackson

King’s College London

UNITED KINGDOM

Wim Van Biesen

Ghent University Hospital

BELGIUM

Johan Steen

Ghent University Hospital

BELGIUM

Erin Gabriel

Associate Professor

Københavns Universitet

DENMARK

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

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