S. Vansteelandt

S. Vansteelandt, K. Nackaerts, J. V. van Meerbeeck, 2011, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Semiparametric tests for sufficient cause interaction

J. Robins, S. Vansteelandt, T. VanderWeele, 2012, Journal of the Royal Statistical Society. Series B, Statistical methodology.

High-dimensional doubly robust tests for regression parameters

Stijn Vansteelandt, Oliver Dukes, Vahe Avagyan, 2018, 1805.06714.

Uniformly valid confidence intervals for conditional treatment effects in misspecified high-dimensional models.

S. Vansteelandt, O. Dukes, 2019, 1903.10199.

Doubly robust estimation of attributable fractions in survival analysis

S. Vansteelandt, A. Sjölander, 2017, Statistical methods in medical research.

Revisiting g-estimation of the Effect of a Time-varying Exposure Subject to Time-varying Confounding

S. Vansteelandt, A. Sjolander, Arvid Sjolander, 2016 .

Estimation of Direct and Indirect Effects

S. Vansteelandt, 2012 .

On Model Selection and Model Misspecification in Causal Inference

S. Vansteelandt, Maarten Bekaert, G. Claeskens, 2010 .

Discussion of "principal Stratification Designs ..."

J. Robins, S. Vansteelandt, 2007 .

Flexible Mediation Analysis With Multiple Mediators.

S. Vansteelandt, T. Loeys, B. Moerkerke, 2017, American journal of epidemiology.

Uk-causal Inference Meeting " Causal Inference in Health and Social Sciences " Tuesday 14 Welcome to the Uk Causal Inference Meeting (uk-cim) Uk-cim Steering Group: Uk-causal Inference Meeting (uk-cim) Programme Abstracts (oral Presentations) Counterfactual Graphical Models for Longitudinal Mediatio

I. Shpitser, R. Emsley, A. Pickles, 2022 .

Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.

Wen Wei Loh, S. Vansteelandt, T. Loeys, 2021, Psychological methods.

Heterogeneous indirect effects for multiple mediators using interventional effect models

Wen Wei Loh, S. Vansteelandt, T. Loeys, 2020 .

How do psychologically based interventions for chronic musculoskeletal pain work? A systematic review and meta-analysis of specific moderators and mediators of treatment.

S. Vansteelandt, B. Cagnie, M. Meeus, 2022, Clinical psychology review.

Rethinking meta-analysis: assessing case-mix heterogeneity when combining treatment effects across patient populations

R. Porcher, S. Vansteelandt, A. Chaimani, 2019 .

Multivariable modeling of factors associated with spinal pain in young adolescence

S. Vansteelandt, G. Vanderstraeten, B. Cagnie, 2016, European Spine Journal.

Prediction of hospital bed capacity during the COVID− 19 pandemic

S. Vansteelandt, D. Benoit, M. Deschepper, 2020, BMC Health Services Research.

Perception of inappropriate cardiopulmonary resuscitation by clinicians working in emergency departments and ambulance services: The REAPPROPRIATE international, multi-centre, cross sectional survey.

S. Vansteelandt, K. Monsieurs, B. Gadeyne, 2018, Resuscitation.

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

S. Vansteelandt, W. van Biesen, J. Decruyenaere, 2021, Statistics in medicine.

Commentary: G-Computation–Lost in Translation?

S. Vansteelandt, N. Keiding, 2011 .

Adding serum estradiol measurements to ultrasound monitoring does not change the yield of mature oocytes in IVF/ICSI

S. Vansteelandt, P. De Sutter, J. Gerris, 2014, Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology.

Selection bias when inferring the effect direction in Mendelian randomization

S. Vansteelandt, C. Lange, S. Lutz, 2022, Genetic epidemiology.

Authors' reply to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes

S. Vansteelandt, O. Dukes, 2022, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

On adjustment for auxiliary covariates in additive hazard models for the analysis of randomized experiments.

S. Vansteelandt, T. Martinussen, E. Tchetgen, 2014, Biometrika.

Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods

S. Vansteelandt, T. VanderWeele, R. Keogh, 2017, American journal of epidemiology.

Practice of Epidemiology Analysis of Longitudinal StudiesWith RepeatedOutcomeMeasures: Adjusting for Time-Dependent Confounding Using Conventional Methods

S. Vansteelandt, T. VanderWeele, R. Keogh, 2018 .

Estimating the Effect of Healthcare-Associated Infections on Excess Length of Hospital Stay Using Inverse Probability–Weighted Survival Curves

S. Vansteelandt, A. Majeed, A. Walker, 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Outcome in patients perceived as receiving excessive care across different ethical climates: a prospective study in 68 intensive care units in Europe and the USA

S. Vansteelandt, D. Talmor, A. Reyners, 2018, Intensive Care Medicine.

Placental inflammation and perinatal transmission of HIV-1.

S. Vansteelandt, K. Mandaliya, C. Verhofstede, 2002 .

Multistate Models in Critical Care: Two Steps Forward, One Step Back.

S. Vansteelandt, J. Decruyenaere, D. Benoit, 2019, Critical care medicine.

Asking Too Much of Epidemiologic Studies: The Problem of Collider Bias and the Obesity Paradox.

S. Vansteelandt, 2017, Epidemiology.

Assumption-lean Cox regression

S. Vansteelandt, T. Martinussen, O. Dukes, 2022, Journal of the American Statistical Association.

Medflex: flexible mediation analysis using natural effect models in R

S. Vansteelandt, T. Loeys, B. Moerkerke, 2015 .

Understanding the effects of a complex psychological intervention on symptoms of depression in Goa, India: findings from a causal mediation analysis

S. Vansteelandt, R. Araya, V. Patel, 2022, The British Journal of Psychiatry.

Eliminating Survivor Bias in Two-stage Instrumental Variable Estimators

S. Vansteelandt, E. T. Tchetgen Tchetgen, S. Walter, 2018, Epidemiology.

Structural mean models for instrumented difference-in-differences

S. Vansteelandt, D. Small, Ashkan Ertefaie, 2022, 2209.10339.

Statistical methods for detecting heterotachy

Yves Van de Peer, Jeroen Raes, Stijn Vansteelandt, 2005 .

Placental Inflammation and Perinatal Transmission of HIV‐1

S. Vansteelandt, K. Mandaliya, C. Verhofstede, 2002, Journal of acquired immune deficiency syndromes.

Timing of dialysis in acute kidney injury using routinely collected data and dynamic treatment regimes

S. Vansteelandt, W. van Biesen, J. Decruyenaere, 2022, Critical Care.

On doubly robust inference for double machine learning

S. Vansteelandt, D. Whitney, O. Dukes, 2021, 2107.06124.

On collapsibility and confounding bias in Cox and Aalen regression models

S. Vansteelandt, T. Martinussen, 2013, Lifetime data analysis.

Ethical decision-making climate in the ICU: theoretical framework and validation of a self-assessment tool

S. Vansteelandt, D. Talmor, A. Reyners, 2018, BMJ Quality & Safety.

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

Amanda J. Fairchild, G. Collins, S. Vansteelandt, 2021, JAMA.

The efficacy of the embryo transfer catheter in IVF and ICSI is operator-dependent: a randomized clinical trial.

S. Vansteelandt, J. Van der Elst, P. De Sutter, 2008, Human reproduction.

Cellular Heterogeneity in the Level of mtDNA Heteroplasmy in Mouse Embryonic Stem Cells.

S. Vansteelandt, B. Heindryckx, M. Vandewoestyne, 2015, Cell reports.

Cellular Heterogeneity in t he Level of mtDNA Heteroplasmy in Mouse Embryonic Stem Cells Graphical

S. Vansteelandt, B. Heindryckx, M. Vandewoestyne, 2015 .

Improving the robustness and efficiency of covariate‐adjusted linear instrumental variable estimators

Stijn Vansteelandt, Vanessa Didelez, S. Vansteelandt, 2015, 1510.01770.

Ethical climate and intention to leave among critical care clinicians: an observational study in 68 intensive care units across Europe and the United States

S. Vansteelandt, D. Talmor, A. Reyners, 2019, Intensive Care Medicine.

Using generalized linear models to implement g-estimation for survival data with time-varying confounding

S. Vansteelandt, R. Keogh, S. Seaman, 2021, Statistics in medicine.

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

Ruth H. Keogh, Stijn Vansteelandt, Jon Michael Gran, 2021, Statistics in medicine.

Simulating longitudinal data from marginal structural models using the additive hazard model

Ruth H. Keogh, Stijn Vansteelandt, Shaun R. Seaman, 2020, Biometrical journal. Biometrische Zeitschrift.

Ignorance and uncertainty regions as inferential tools in a sensitivity analysis

Geert Molenberghs, Els Goetghebeur, Michael G. Kenward, 2006 .

Correcting Instrumental Variables Estimators for Systematic Measurement Error.

Els Goetghebeur, Stijn Vansteelandt, Manoochehr Babanezhad, 2009, Statistica Sinica.

Doubly robust tests of exposure effects under high‐dimensional confounding

S. Vansteelandt, Vahe Avagyan, O. Dukes, 2018, Biometrics.

UHPLC-MS/MS method for the determination of the cyclic depsipeptide mycotoxins beauvericin and enniatins in in vitro transdermal experiments.

S. Vansteelandt, S. de Saeger, B. De Spiegeleer, 2014, Journal of pharmaceutical and biomedical analysis.

Combining Disease Models to Test for Gene–Environment Interaction in Nuclear Families

Christoph Lange, Edwin K Silverman, Stijn Vansteelandt, 2011, Biometrics.

Gene‐environment interaction tests for dichotomous traits in trios and sibships

Christoph Lange, Stijn Vansteelandt, Nan M Laird, 2009, Genetic epidemiology.

Testing and Estimating Gene–Environment Interactions in Family‐Based Association Studies

Christoph Lange, Edwin K Silverman, Kady Schneiter, 2008, Biometrics.

A unifying approach for haplotype analysis of quantitative traits in family-based association studies: Testing and estimating gene-environment interactions with complex exposure variables

S. Vansteelandt, C. Lange, 2006 .

Ion mobility spectrometry as a high-throughput technique for in vitro transdermal Franz diffusion cell experiments of ibuprofen.

S. Vansteelandt, B. de Spiegeleer, B. Baert, 2011, Journal of pharmaceutical and biomedical analysis.

A model-based approach to study nearest-neighbor influences reveals complex substitution patterns in non-coding sequences.

Guy Baele, Stijn Vansteelandt, Yves Van de Peer, 2008, Systematic biology.

A retrospective study of the pregnancy, delivery and neonatal outcome in overweight versus normal weight women with polycystic ovary syndrome.

S. Vansteelandt, P. De Sutter, G. T’Sjoen, 2014, Human Reproduction.

Mediation Analysis with Multiple Mediators

T J VanderWeele, S Vansteelandt, S. Vansteelandt, 2014, Epidemiologic methods.

On regression adjustment for the propensity score

S. Vansteelandt, R. Daniel, S. Vansteelandt, 2014, Statistics in medicine.

Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution

Guy Baele, Stijn Vansteelandt, Philippe Lemey, 2013, BMC Bioinformatics.

VanderWeele and Vansteelandt Respond to “Decomposing With a Lot of Supposing” and “Mediation”

S. Vansteelandt, T. VanderWeele, 2010 .

Efficient context-dependent model building based on clustering posterior distributions for non-coding sequences

Guy Baele, Stijn Vansteelandt, Yves Van de Peer, 2009, BMC Evolutionary Biology.

Natural history and clearance of HPV after treatment of precancerous cervical lesions

S. Vansteelandt, M. Temmerman, A. Aerssens, 2008, Histopathology.

A simple unified approach for estimating natural direct and indirect effects.

Stijn Vansteelandt, Theis Lange, Maarten Bekaert, 2012, American journal of epidemiology.

Causal inference concepts applied to three observational studies in the context of vaccine development: from theory to practice

S. Vansteelandt, E. Aris, D. Rosillon, 2021, BMC Medical Research Methodology.

On doubly robust estimation of the hazard difference

S. Vansteelandt, E. T. Tchetgen Tchetgen, T. Martinussen, 2018, Biometrics.

Estimation of direct effects for survival data by using the Aalen additive hazards model

Stijn Vansteelandt, Torben Martinussen, Mette Gerster, 2011 .

Psychological well-being and socio-economic hardship among AIDS orphans and other vulnerable children in Guinea

S. Vansteelandt, L. Annemans, M. Temmerman, 2009, AIDS care.

Survivor bias in Mendelian randomization analysis.

S. Vansteelandt, T. Martinussen, O. Dukes, 2018, Biostatistics.

The Hazards of Period Specific and Weighted Hazard Ratios

S. Vansteelandt, J. Bartlett, C. Burman, 2020, Statistics in biopharmaceutical research.

Sexual behaviour and contraceptive use among youth in the Balkans

S. Vansteelandt, M. Temmerman, H. Verstraelen, 2007, The European journal of contraception & reproductive health care : the official journal of the European Society of Contraception.

Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples

S Vansteelandt, E Goetghebeur, S. Vansteelandt, 2000, Biometrics.

Demystifying Statistical Learning Based on Efficient Influence Functions

S. Vansteelandt, K. Diaz-Ordaz, Oliver Hines, 2021, The American Statistician.

An evaluation of 2D‐image analysis techniques for measuring soil microporosity

Veerle Cnudde, Stijn Vansteelandt, Vera de Melo Marcelino, 2007 .

The decline of serum testosterone levels in community-dwelling men over 70 years of age: descriptive data and predictors of longitudinal changes.

S. Vansteelandt, J. Kaufman, D. Bacquer, 2008, European journal of endocrinology.

Bmc Medical Informatics and Decision Making Support Vector Machine versus Logistic Regression Modeling for Prediction of Hospital Mortality in Critically Ill Patients with Haematological Malignancies

Filip De Turck, Stijn Vansteelandt, Johan Decruyenaere, 2008 .

Adjusting for time-varying treatment switches in randomized clinical trials: the danger of extrapolation and how to avoid it

S. Vansteelandt, A. Vandebosch, Hege Michiels, 2023, 2303.06099.

A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables

E. Silverman, S. Vansteelandt, M. Cho, 2021, bioRxiv.

Interventional Effects for Mediation Analysis with Multiple Mediators.

Stijn Vansteelandt, S. Vansteelandt, R. Daniel, 2017, Epidemiology.

Antimicrobial de-escalation in the critically ill patient and assessment of clinical cure: the DIANA study

H. Hashimoto, S. Vansteelandt, D. D. de Lange, 2020, Intensive Care Medicine.

Inference for treatment effect parameters in potentially misspecified high-dimensional models

Stijn Vansteelandt, Oliver Dukes, S. Vansteelandt, 2020 .

Bias-Reduced Doubly Robust Estimation

Stijn Vansteelandt, S. Vansteelandt, Karel Vermeulen, 2015 .

Doubly robust conditional logistic regression

S. Vansteelandt, A. Sjölander, J. Zetterqvist, 2019, Statistics in medicine.

Analyzing the Sensitivity of Generalized Linear Models to Incomplete Outcomes via the IDE Algorithm

Els Goetghebeur, Stijn Vansteelandt, S. Vansteelandt, 2001 .

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

James M. Robins, Tyler J. VanderWeele, Stijn Vansteelandt, 2014, Epidemiology.

Caution against examining the role of reverse causality in Mendelian Randomization

J. Hokanson, S. Vansteelandt, C. Lange, 2021, Genetic epidemiology.

Causal inference with generalized structural mean models

Stijn Vansteelandt, S. Vansteelandt, E. Goetghebeur, 2003 .

Multiply Robust Inference for Statistical Interactions

James M. Robins, Tyler J. VanderWeele, Stijn Vansteelandt, 2008, Journal of the American Statistical Association.

On the practice of ignoring center‐patient interactions in evaluating hospital performance

S. Vansteelandt, E. Goetghebeur, M. Eriksson, 2015, Statistics in medicine.

Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint

Stijn Vansteelandt, Oliver Dukes, Kelly Van Lancker, 2020, Statistics in medicine.

Improving interim decisions in randomized trials by exploiting information on short‐term endpoints and prognostic baseline covariates

Stijn Vansteelandt, Kelly Van Lancker, An Vandebosch, 2019, Pharmaceutical statistics.

Handling time-dependent exposures and confounders when estimating attributable fractions -- bridging the gap between multistate and counterfactual modeling

S. Vansteelandt, J. Decruyenaere, Johan Steen, 2020, 2011.04833.

Assessing the impact of case-mix heterogeneity in individual participant data meta-analysis: Novel use of I2 statistic and prediction interval

Stijn Vansteelandt, Raphaël Porcher, Tat-Thang Vo, 2021 .

Brief Report: Association Between Statin Use and Cardiovascular Mortality at the Population Level An Ecologic Study

S. Vansteelandt, E. Hak, P. Kamphuisen, 2015, Epidemiology.

Parental socioeconomic status and soft drink consumption of the child. The mediating proportion of parenting practices

S. Vansteelandt, I. Huybrechts, I. Bourdeaudhuij, 2012, Appetite.

Quality assessment practice in systematic reviews of mediation studies: results from an overview of systematic reviews.

S. Vansteelandt, T. VanderWeele, I. Boutron, 2021, Journal of clinical epidemiology.

Birth cohort appeared to confound effect estimates of guideline changes on statin utilization.

S. Vansteelandt, E. Hak, M. Bijlsma, 2015, Journal of clinical epidemiology.

HIV testing and sexually transmitted infection care among sexually active youth in the Balkans.

S. Vansteelandt, M. Temmerman, H. Verstraelen, 2008, AIDS patient care and STDs.

Adjusting for time-varying confounding in the subdistribution analysis of a competing risk

S. Vansteelandt, K. Mertens, Maarten Bekaert, 2010, Lifetime data analysis.

Gonadotropin Therapy versus Laparoscopic Ovarian Drilling in Clomiphene Citrate-Resistant Polycystic Ovary Syndrome Patients: A Retrospective Cost-Effectiveness Analysis

S. Vansteelandt, L. Annemans, P. De Sutter, 2015, Gynecologic and Obstetric Investigation.

Distribution of Human Papillomavirus in a Family Planning Population in Nairobi, Kenya

S. Vansteelandt, E. van Marck, W. Quint, 2003, Sexually transmitted diseases.

Delaying the oocyte maturation trigger by one day leads to a higher metaphase II oocyte yield in IVF/ICSI: a randomised controlled trial

S. Vansteelandt, P. De Sutter, K. Tilleman, 2014, Reproductive Biology and Endocrinology.

Intensive care unit (ICU)-acquired bacteraemia and ICU mortality and discharge: addressing time-varying confounding using appropriate methodology.

S. Vansteelandt, T. Smieszek, J. Edgeworth, 2017, The Journal of hospital infection.

The influence of unmeasured confounding on the MR Steiger approach

J. Hokanson, S. Vansteelandt, C. Lange, 2021, bioRxiv.

medflex : an R package for flexible mediation analysis using natural effect models

Beatrijs Moerkerke, Stijn Vansteelandt, Tom Loeys, 2017 .

A cautionary note on the power of the test for the indirect effect in mediation analysis

Beatrijs Moerkerke, Stijn Vansteelandt, Tom Loeys, 2015, Front. Psychol..

The conduct and reporting of mediation analysis in recently published randomized controlled trials: results from a methodological systematic review.

S. Vansteelandt, I. Boutron, C. Superchi, 2020, Journal of clinical epidemiology.

Interventional Indirect Effects: A Novel Approach to Optimise Complex Psychological Therapies to Treat Depression for Scale-up in Goa, India

S. Vansteelandt, R. Araya, V. Patel, 2021 .

Causal meditation analysis to understand how different components of a complex psychological intervention improved symptoms (or not) of depression in Goa, India

S. Vansteelandt, R. Araya, V. Patel, 2021, medRxiv.

Should we adjust for gestational age when analysing birth weights? The use of z-scores revisited.

S. Vansteelandt, D. De Bacquer, P. De Sutter, 2007, Human reproduction.

Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?

Stijn Vansteelandt, S. Vansteelandt, B. D. De Stavola, 2016, International journal of epidemiology.

Preterm birth in twins after subfertility treatment: population based cohort study

S. Vansteelandt, E. Goetghebeur, S. Goetgeluk, 2005, BMJ : British Medical Journal.

Health care costs and lost productivity costs related to excess weight in Belgium

S. Vansteelandt, D. De Smedt, B. Devleesschauwer, 2021, BMC Public Health.

Evaluating futility of a binary clinical endpoint using early read‐outs

Stijn Vansteelandt, Kelly Van Lancker, An Vandebosch, 2019, Statistics in medicine.

The importance of the urinary output criterion for the detection and prognostic meaning of AKI

S. Vansteelandt, W. van Biesen, J. Decruyenaere, 2021, Scientific Reports.

A randomized, double-blind, placebo-controlled, cross-over pilot study on the use of a standardized hop extract to alleviate menopausal discomforts.

S. Vansteelandt, R. Erkkola, A. Heyerick, 2010, Phytomedicine : international journal of phytotherapy and phytopharmacology.

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

S. Vansteelandt, D. De Smedt, B. Devleesschauwer, 2023, Population Health Metrics.

Does appropriate empiric antibiotic therapy modify intensive care unit-acquired Enterobacteriaceae bacteraemia mortality and discharge?

S. Vansteelandt, T. Smieszek, J. Edgeworth, 2017, The Journal of hospital infection.

Robust Inference for Mediated Effects in Partially Linear Models

Karla Diaz-Ordaz, Stijn Vansteelandt, Oliver Hines, 2020, Psychometrika.

Preventable Proportion of Severe Infections Acquired in Intensive Care Units: Case-Mix Adjusted Estimations from Patient-Based Surveillance Data

Stijn Vansteelandt, Mercedes Palomar, Antonella Agodi, 2014, Infection Control & Hospital Epidemiology.

The effects of early grade retention: Effect modification by prior achievement and age.

S. Vansteelandt, Jan Van Damme, M. Vandecandelaere, 2016, Journal of school psychology.

American Journal of Epidemiology Practice of Epidemiology a Weighting Approach to Causal Effects and Additive Interaction in Case-control Studies: Marginal Structural Linear Odds Models Discussion and Implications for Model Specification Table 1. Results for Simulation Comparing Marginal Structural

S. Vansteelandt, T. VanderWeele, 2022 .

Doubly robust estimation of attributable fractions.

S. Vansteelandt, A. Sjölander, 2011, Biostatistics.

Structural equation modeling versus marginal structural modeling for assessing mediation in the presence of posttreatment confounding.

S. Vansteelandt, T. Loeys, B. Moerkerke, 2015, Psychological methods.

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

Stijn Vansteelandt, Marshall Joffe, S. Vansteelandt, 2014, 1503.01589.

Estimating Direct Effects in Cohort and Case–Control Studies

Stijn Vansteelandt, S. Vansteelandt, 2009, Epidemiology.

Estimation of controlled direct effects

Els Goetghebeur, Stijn Vansteelandt, S. Vansteelandt, 2008 .

Challenges in systematic reviews and meta-analyses of mediation analyses pdf

Stijn Vansteelandt, Tat-Thang Vo, S. Vansteelandt, 2021, American journal of epidemiology.

Assumption‐lean inference for generalised linear model parameters

Stijn Vansteelandt, Oliver Dukes, S. Vansteelandt, 2020, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Data-Adaptive Bias-Reduced Doubly Robust Estimation

S. Vansteelandt, Karel Vermeulen, 2016, The international journal of biostatistics.

Comparison of causal effect estimators under exposure misclassification

Els Goetghebeur, Stijn Vansteelandt, Manoochehr Babanezhad, 2010 .

Linear and loglinear structural mean models to evaluate the benefits of an on-demand dosing regimen

S. Vansteelandt, B. Vrijens, G. Baxter, 2009, Clinical trials.

Coaching doctors to improve ethical decision-making in adult hospitalised patients potentially receiving excessive treatment: Study protocol for a stepped wedge cluster randomised controlled trial

S. Vansteelandt, S. Vanheule, F. Anseel, 2023, PloS one.

Frequentist versus Bayesian approaches to multiple testing

S. Vansteelandt, A. Sjölander, 2019, European Journal of Epidemiology.

Learning Causal Hazard Ratio with Endogeneity

S. Vansteelandt, T. Martinussen, E. Tchetgen, 2018 .

IV estimation of causal hazard ratio

S. Vansteelandt, T. Martinussen, Linbo Wang, 2018, 1807.05313.

Alternative Identification and Inference for the Effect of Treatment on the Treated with an Instrumental Variable

Eric J. Tchetgen Tchetgen, Stijn Vansteelandt, S. Vansteelandt, 2013 .

Principal stratification designs to estimate input data missing due to death - Discussion

James M. Robins, Andrea Rotnitzky, Stijn Vansteelandt, 2007 .

Biometrics , September 2007 Discussions

J. Robins, A. Rotnitzky, S. Vansteelandt, 2007 .

Sense and sensitivity when correcting for observed exposures in randomized clinical trials

S. Vansteelandt, E. Goetghebeur, 2005, Statistics in medicine.

Sensitivity Analysis for Principal Stratum Direct Effects, with an Application to a Study of Physical Activity and Coronary Heart Disease

Juni Palmgren, Stijn Vansteelandt, Rino Bellocco, 2009, Biometrics.

Marginal Structural Models for Sufﬁcient Cause Interactions

J. Robins, S. Vansteelandt, T. VanderWeele, 2010 .

Improving upon the efficiency of complete case analysis when covariates are MNAR

Kate Tilling, James R. Carpenter, Jonathan W. Bartlett, 2014, Biostatistics.

Subtleties in the interpretation of hazard ratios

S. Vansteelandt, P. Andersen, T. Martinussen, 2018, 1810.09192.

Doubly robust methods for handling confounding by cluster.

S. Vansteelandt, A. Sjölander, Y. Pawitan, 2016, Biostatistics.

Practice of Epidemiology Marginal Structural Models for Sufficient Cause Interactions

J. Robins, S. Vansteelandt, T. VanderWeele, 2010 .

Instrumental variables estimation under a structural Cox model

TORBEN MARTINUSSEN, DITTE NØRBO SØRENSEN, STIJN VANSTEELANDT, 2019, Biostatistics.

The potential and perils of observational studies.

S. Vansteelandt, M. Buyse, 2016, Annals of oncology : official journal of the European Society for Medical Oncology.

Attributable Mortality of Ventilator-associated Pneumonia. Replicating Findings, Revisiting Methods

S. Vansteelandt, B. Gadeyne, J. Decruyenaere, 2020, Annals of the American Thoracic Society.

Imputation Strategies for the Estimation of Natural Direct and Indirect Effects

Stijn Vansteelandt, Maarten Bekaert, Theis Lange, 2012 .

Within-Subject Mediation Analysis in AB/BA Crossover Designs

Stijn Vansteelandt, Tom Loeys, Haeike Josephy, 2015, The international journal of biostatistics.

Causation and causal inference for genetic effects

S. Vansteelandt, C. Lange, 2012, Human Genetics.

Commentary: Understanding Counterfactual-Based Mediation Analysis Approaches and Their Differences

S. Vansteelandt, 2012, Epidemiology.

Testing for direct genetic effects using a screening step in family-based association studies

S. Vansteelandt, C. Lange, S. Lutz, 2013, Front. Genet..

Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models

Stijn Vansteelandt, S. Vansteelandt, 2010 .

Age-disparity, sexual connectedness and HIV infection in disadvantaged communities around Cape Town, South Africa: a study protocol

S. Vansteelandt, N. Hens, M. Aerts, 2011, BMC public health.

Corrigendum: Improving upon the efficiency of complete case analysis when covariates are MNAR (10.1093/biostatistics/kxu023).

James R Carpenter, Stijn Vansteelandt, Kate Tilling, 2015, Biostatistics.

The effect of adherence to statin therapy on cardiovascular mortality: quantification of unmeasured bias using falsification end-points

S. Vansteelandt, E. Hak, M. Bijlsma, 2016, BMC Public Health.

Estimation of Indirect Effects in the Presence of Unmeasured Confounding for the Mediator–Outcome Relationship in a Multilevel 2-1-1 Mediation Model

S. Vansteelandt, H. Van Keer, T. Loeys, 2016 .

Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators.

Beatrijs Moerkerke, Wen Wei Loh, Stijn Vansteelandt, 2019, Psychological methods.

A Principal Stratification Approach to Assess the Differences in Prognosis between Cancers Caused by Hormone Replacement Therapy and by Other Factors

S. Vansteelandt, K. Humphreys, Arvid Sjolander, 2010, The international journal of biostatistics.

The International Journal of Biostatistics A Principal Stratification Approach to Assess the Differences in Prognosis between Cancers Caused by Hormone Replacement Therapy and by Other Factors

S. Vansteelandt, K. Humphreys, 2011 .

Time-Varying Treatments in Observational Studies: Marginal Structural Models of the Effects of Early Grade Retention on Math Achievement

S. Vansteelandt, Jan Van Damme, M. Vandecandelaere, 2016, Multivariate behavioral research.

Reply to Wolkewitz et al.

S. Vansteelandt, Maarten Bekaert, J. Decruyenaere, 2010, Intensive Care Medicine.

Subtleties in the interpretation of hazard contrasts

S. Vansteelandt, P. Andersen, T. Martinussen, 2020, Lifetime Data Analysis.

Practice of Epidemiology A Simple Unified Approach for Estimating Natural Direct and Indirect Effects

S. Vansteelandt, Maarten Bekaert, T. Lange, 2012 .

Stable inverse probability weighting estimation for longitudinal studies

S. Vansteelandt, Vahe Avagyan, 2021, Scandinavian Journal of Statistics.

Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure

Els Goetghebeur, Stijn Vansteelandt, S. Vansteelandt, 2005, Statistical methods in medical research.

A Note on G-Estimation of Causal Risk Ratios.

Stijn Vansteelandt, Oliver Dukes, S. Vansteelandt, 2018, American journal of epidemiology.

Variable importance measures for heterogeneous causal effects

S. Vansteelandt, K. Diaz-Ordaz, Oliver Hines, 2022, 2204.06030.

Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions

Stijn Vansteelandt, Tyler J Vanderweele, S. Vansteelandt, 2012, Biometrics.

Bacterial vaginosis: not a risk factor for preterm birth?

S. Vansteelandt, M. Temmerman, H. Verstraelen, 2004, The British journal of general practice : the journal of the Royal College of General Practitioners.

Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown

S. Vansteelandt, T. Loeys, B. Moerkerke, 2020, Biometrics.

Longitudinal mediation analysis using natural effect models.

S. Vansteelandt, M. Mittinty, 2019, American journal of epidemiology.

A novel approach for identifying and addressing case‐mix heterogeneity in individual participant data meta‐analysis

R. Porcher, S. Vansteelandt, A. Chaimani, 2019, Research synthesis methods.

Follicle Measurements Using Sonography-Based Automated Volume Count Accurately Predict the Yield of Mature Oocytes in In Vitro Fertilization/Intracytoplasmic Sperm Injection Cycles

S. Vansteelandt, P. De Sutter, J. Gerris, 2013, Gynecologic and Obstetric Investigation.

Introduction to Double Robust Methods for Incomplete Data.

Stijn Vansteelandt, Shaun R Seaman, S. Vansteelandt, 2018, Statistical science : a review journal of the Institute of Mathematical Statistics.

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

Stijn Vansteelandt, Vahe Avagyan, S. Vansteelandt, 2021, Biostatistics & Epidemiology.

How to obtain valid tests and confidence intervals after propensity score variable selection?

Stijn Vansteelandt, Oliver Dukes, S. Vansteelandt, 2020, Statistical methods in medical research.

On a General Class of Orthogonal Learners for the Estimation of Heterogeneous Treatment Effects

S. Vansteelandt, J. Decruyenaere, Paweł Morzywołek, 2023, 2303.12687.

Optimally weighted average derivative effects

S. Vansteelandt, K. Diaz-Ordaz, Oliver Hines, 2023, 2308.05456.

Parameterising the effect of a continuous exposure using average derivative effects

Karla Diaz-Ordaz, Stijn Vansteelandt, Oliver Hines, 2021, 2109.13124.

Statistical Modelling in the Age of Data Science

S. Vansteelandt, 2021, Observational Studies.

Predictability of cerebral palsy in a high-risk NICU population.

S. Vansteelandt, A. Oostra, I. Franki, 2010, Early human development.

Does appropriate empiric antibiotic therapy modify ICU-acquired Enterobacteriaceae bacteraemia 1 mortality and discharge? 2

S. Vansteelandt, T. Smieszek, J. Edgeworth, 2017 .

Honest data-adaptive inference for the average treatment effect under model misspecification using penalised bias-reduced double-robust estimation

S. Vansteelandt, Vahe Avagyan, 2017 .

Tyler VanderWeele * and Stijn Vansteelandt Mediation Analysis with Multiple Mediators

S. Vansteelandt, 2013 .

A novel estimand to adjust for rescue treatment in randomized clinical trials

S. Vansteelandt, Cristina Sotto, A. Vandebosch, 2021, Statistics in medicine.

A novel estimand to adjust for rescue treatment in clinical trials

S. Vansteelandt, Cristina Sotto, A. Vandebosch, 2020, 2009.12052.

Dealing with complex problems of confounding in mediation analysis

S. Vansteelandt, 2012 .

Efficient context-dependent model building based on clustering posterior distributions for non-coding sequences

S. Vansteelandt, G. Baele, Y. Van de Peer, 2009, BMC Evolutionary Biology.

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

S. Vansteelandt, B. Devleesschauwer, E. D. De Clercq, 2023, BMC Medical Research Methodology.

On the adjustment for covariates in genetic association analysis: a novel, simple principle to infer direct causal effects

S. Vansteelandt, E. Schadt, H. Lyon, 2009, Genetic epidemiology.

Direct Genetic Effects and Their Estimation From Matched Case‐Control Data

S. Vansteelandt, L. Bernardinelli, L. Foco, 2011, Genetic epidemiology.

Mendelian randomization analysis of case‐control data using structural mean models

S. Vansteelandt, J. Bowden, 2011, Statistics in medicine.

Variable importance measures for heterogeneous causal effects

S. Vansteelandt, K. Diaz-Ordaz, Oliver Hines, 2022, 2204.06030.

The role of loneliness on hearing ability and dementia: A novel mediation approach

S. Vansteelandt, Hilary Davies-Kershaw, Tat-Thang Vo, 2023, Journal of the American Geriatrics Society.

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

S. Vansteelandt, D. Elbourne, Chris Frost, 2019 .

Increasing the power of the Mann‐Whitney test in randomized experiments through flexible covariate adjustment

S. Vansteelandt, O. Thas, Karel Vermeulen, 2015, Statistics in medicine.

Instrumental variables estimation with competing risk data.

Stijn Vansteelandt, Torben Martinussen, S. Vansteelandt, 2017, Biostatistics.

On shrinkage and model extrapolation in the evaluation of clinical center performance

S. Vansteelandt, E. Goetghebeur, M. Eriksson, 2014, Biostatistics.

Discussion of 'Clustered encouragement designs with individual noncompliance: Bayesian inference with randomization, and application to advance directive forms' by Frangakis, Rubin and Zhou.

S. Vansteelandt, E. Goetghebeur, 2002, Biostatistics.

Running head: DISENTANGLING INDIRECT EFFECTS THROUGH MULTIPLE MEDIATORS 1 Disentangling indirect effects through multiple mediators without assuming any causal structure among the mediators

S. Vansteelandt, T. Loeys, B. Moerkerke, 2021 .

A statistical test to reject the structural interpretation of a latent factor model

S. Vansteelandt, T. VanderWeele, 2020, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Instrumental variable estimation of the causal hazard ratio

S. Vansteelandt, T. Martinussen, E. T. Tchetgen, 2022, Biometrics.

Small sample inference for probabilistic index models

Olivier Thas, Jan De Neve, Gustavo Amorim, 2018, Comput. Stat. Data Anal..

Doubly robust methods for handling confounding by cluster.

S. Vansteelandt, A. Sjölander, Y. Pawitan, 2016, Biostatistics.

Estimation methods for computing a branch’s total value added from incomplete annual accounting data. National Bank of Belgium, Working Paper No. 371

François Coppens, Stijn Vansteelandt, Dries Reynders, 2019 .

Introduction to Double Robust Methods for Incomplete Data.

S. Vansteelandt, S. Seaman, 2018, Statistical science : a review journal of the Institute of Mathematical Statistics.

gesttools: General Purpose G-Estimation in R

S. Vansteelandt, B. D. De Stavola, O. Dukes, 2022, Observational Studies.

Both low and high activities of platelet monoamine oxidase increase the probability of becoming a smoker

S. Vansteelandt, K. Fischer, J. Harro, 2004, European Neuropsychopharmacology.

Synthetic Data: Can We Trust Statistical Estimators?

S. Vansteelandt, Thomas Demeester, A. Decruyenaere, 2023, 2312.07837.

Interventional Effect Models for Multiple Mediators

S. Vansteelandt, T. Loeys, B. Moerkerke, 2019, 1907.08415.

Improving the robustness and efficiency of covariate‐adjusted linear instrumental variable estimators

S. Vansteelandt, V. Didelez, 2018 .

Doubly robust tests of exposure effects under high-dimensional confounding

S. Vansteelandt, Vahe Avagyan, O. Dukes, 2018 .

Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models

S. Vansteelandt, R. Keogh, S. Seaman, 2019, Biometrics.

Analysis of Longitudinal Studies With Repeated Outcome Measures: Adjusting for Time-Dependent Confounding Using Conventional Methods

S. Vansteelandt, T. VanderWeele, R. Keogh, 2018 .

Estimation of HIV treatment-efficacy by combining structural nested mean models with pharmacokinetic models of antiretroviral drug exposure

S. Vansteelandt, B. Vrijens, Laetitia Comté, 2011 .