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Oliver Dukes

HOGENT University of Applied Sciences and Arts (per OpenAlex) · ORCID · OpenAlex

34 papers in scope · 34 published · 1 on the econ.EM arXiv · 490 citations · h-index 12 (over the papers listed here)

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Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 34)

Mei Dong, Linbo Wang, Lin Liu, and Oliver Dukes's contribution to the Discussion of ‘Regression by composition’ by Farewell et al
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Mei Dong, Linbo Wang, Lin Liu
Ruixuan Zhao, Oliver Dukes, Linbo Wang, and Lin Liu’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Ruixuan Zhao, Linbo Wang, Lin Liu
Jingxin Yan, Lin Liu, Oliver Dukes, Qizhai Li, and Linbo Wang’s contribution to the Discussion of ‘Regression by composition’ by Farewell et al.
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Jingxin Yan, Lin Liu, Qizhai Li, Linbo Wang
Nonparametric Tests of Treatment Effect Homogeneity for Policy-Makers
published2026 · Journal of the American Statistical Association
with Mats Julius Stensrud, Riccardo Brioschi, Aaron Hudson
Authors’ reply to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
Change scores and baseline adjustment: splitting the difference (in differences)
published2025 · International Journal of Epidemiology · 3 citations
with Zach Shahn, Audrey Renson
published2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 6 citations · first circulated 2023
Using negative controls to identify causal effects with invalid instrumental variables
published2024 · Biometrika · 5 citations · first circulated 2022
with David B. Richardson, Zach Shahn, James M. Robins, Eric J. Tchetgen Tchetgen, David Richardson
Covariate adjustment in randomized controlled trials: General concepts and practical considerations
published2024 · Clinical Trials · 38 citations
with Kelly Van Lancker, Frank Bretz
Response to Harrell’s commentary
published2024 · Clinical Trials · 2 citations
with Kelly Van Lancker, Frank Bretz
Reconciling model-X and doubly robust approaches to conditional independence testing
published2024 · The Annals of Statistics · 4 citations · first circulated 2022
with Ziang Niu, Abhinav Chakraborty, Eugene Katsevich
Generalizing the Intention-to-Treat Effect of an Active Control from Historical Placebo-Controlled Trials: A Case Study of the Efficacy of Daily Oral TDF/FTC in the HPTN 084 Study
published2024 · Journal of the American Statistical Association · 4 citations · first circulated 2023
with Qijia He, Fei Gao, Sinéad Delany-Moretlwe, Bo Zhang
Ensuring Valid Inference for Cox Hazard Ratios After Variable Selection
published2023 · Biometrics · 1 citations · first circulated 2021
with Kelly Van Lancker, Stijn Vansteelandt
Estimating the Effect of a Treatment When There Is Nonadherence in a Trial
published2023 · American Journal of Epidemiology · 5 citations
with David B. Richardson, Eric J. Tchetgen Tchetgen
Proximal mediation analysis
published2023 · Biometrika · 12 citations · first circulated 2021
Assumption-Lean Cox Regression
published2022 · Journal of the American Statistical Association · 20 citations
with Stijn Vansteelandt, Kelly Van Lancker, Torben Martinussen
Assumption-lean Inference for Generalised Linear Model Parameters
published2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 59 citations · first circulated 2020
with Stijn Vansteelandt
Authors' reply to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes
published2022 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Stijn Vansteelandt
Translating questions to estimands in randomized clinical trials with intercurrent events
published2022 · Statistics in Medicine · 33 citations · first circulated 2021
RE: “SYNTHETIC CONTROL METHODS FOR THE EVALUATION OF SINGLE-UNIT INTERVENTIONS IN EPIDEMIOLOGY: A TUTORIAL”
published2022 · American Journal of Epidemiology · 1 citations
with Eric J. Tchetgen Tchetgen, Xu Shi, Miao Wang, David B. Richardson
Demystifying Statistical Learning Based on Efficient Influence Functions
published2022 · The American Statistician · 90 citations
with Oliver Hines, Karla Díaz-Ordaz, Stijn Vansteelandt
gesttools: General Purpose G-Estimation in R
published2022 · Observational Studies · 8 citations
with Daniel Tompsett, Stijn Vansteelandt, Bianca De Stavola
Principled selection of baseline covariates to account for censoring in randomized trials with a survival endpoint
published2021 · Statistics in Medicine · 1 citations · first circulated 2020
with Kelly Van Lancker, Stijn Vansteelandt
Using generalized linear models to implement g‐estimation for survival data with time‐varying confounding
published2021 · Statistics in Medicine · 4 citations
with Shaun R. Seaman, Ruth H. Keogh, Stijn Vansteelandt
Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning
published2021 · Journal of the American Statistical Association · 3 citations
with Stijn Vansteelandt
On Identification of the Principal Stratum Effect in Patients Who Would Comply If Treated
published2021 · Statistics in Biopharmaceutical Research · 5 citations
with Kelly Van Lancker, Björn Bornkamp, Dominik Heinzmann, Kaspar Rufibach, Marcel Wolbers
Inference for treatment effect parameters in potentially misspecified high-dimensional models
published2020 · Biometrika · 17 citations
with Stijn Vansteelandt
Comment: On the Potential for Misuse of Outcome-Wide Study Designs, and Ways to Prevent It
published2020 · Statistical Science · 2 citations
with Stijn Vansteelandt
Doubly robust tests of exposure effects under high‐dimensional confounding
published2020 · Biometrics · 14 citations · first circulated 2018
with Vahe Avagyan, Stijn Vansteelandt
Adjusting for time‐varying confounders in survival analysis using structural nested cumulative survival time models
published2019 · Biometrics · 18 citations
with Shaun R. Seaman, Ruth H. Keogh, Stijn Vansteelandt
How to obtain valid tests and confidence intervals after propensity score variable selection?
published2019 · Statistical Methods in Medical Research · 18 citations
with Stijn Vansteelandt
On Doubly Robust Estimation of the Hazard Difference
published2018 · Biometrics · 30 citations
with Torben Martinussen, Eric J. Tchetgen Tchetgen, Stijn Vansteelandt
A Note on G-Estimation of Causal Risk Ratios
published2017 · American Journal of Epidemiology · 36 citations
with Stijn Vansteelandt
Survivor bias in Mendelian randomization analysis
published2017 · Biostatistics · 51 citations
with Stijn Vansteelandt, Torben Martinussen

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.