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Selected Publications

See google scholar for a full updated list.

2026 ScoreStop: Gradient-based early stopping using functional score tests Hines, O.J., & Hines C.L. ICML Workshop on Hypothesis Testing
2026 Parameterising the effect of a continuous treatment using average derivative effects Hines, O.J., Diaz-Ordaz, K., & Vansteelandt, S. Biometrika
2026 Riesz representers for the rest of us Williams, N.T., Hines, O.J., & Rudolph, K.E. Epidemiology
2025 Variable importance measures for heterogeneous causal effects Hines, O.J., Diaz-Ordaz, K., & Vansteelandt, S. Biometrics
2025 Automatic debiasing of neural networks via moment-constrained learning Hines, C.L., & Hines, O.J. Proceedings of the Fourth Conference on Causal Learning and Reasoning, PMLR
2022 Demystifying statistical learning based on efficient influence functions Hines, O.J., Dukes, O., Diaz-Ordaz, K., & Vansteelandt, S. The American Statistician
2021 Long-term cardiovascular outcomes after orlistat therapy in patients with obesity: a nationwide, propensity-score matched cohort study Ardissino, M., Vincent, M., Hines, O.J., Amin, R., Eichhorn, C., Tang, A.R., Collins, P., Moussa, O., & Purkayastha, S. European Heart Journal - Cardiovascular Pharmacotherapy
2021 Robust inference for mediated effects in partially linear models Hines, O.J., Vansteelandt, S., & Diaz-Ordaz, K. Psychometrika
2020 Causal graphs for the analysis of genetic cohort data Hines, O.J., Diaz-Ordaz, K., Vansteelandt, S., & Jamshidi, Y. Physiological Genomics

Preprints

2025 Learning density ratios in causal inference using Bregman-Riesz regression Hines, O. J., & Miles, C. H. Arxiv

Talks

2026 Learning density ratios in causal inference using Bregman-Riesz regression International Symposium on Nonparametric Statistics (Thessaloniki, Greece)
2026 Where best to intervene? New England Statistics Symposium (Storrs, CT, USA)
2026 Learning density ratios in causal inference using Bregman-Riesz regression American Causal Inference Conference (Salt Lake City UT, USA)
2026 Beyond the Dose–Response Curve: Weighted Average Derivative Effects for Continuous Treatments University of Washington Seminar (Seattle WA, USA)
2025 Variable importance measures for heterogeneous treatment effects Joint Statistical Meeting (Nashville TN, USA)
2025 What is Automatic Debiasing? Why do it and how? Columbia University Seminar (New York NY, USA)
2023 Causal inference with continuous treatments, a tale of two estimands Symposium organised by the Centre for Microdata Methods and Practice (London, UK)
2023 Bridging the divide: data science and statistics in academia and industry Ghent University Seminar (Ghent, Belgium)
2022 Demystifying statistical learning based on efficient influence functions CMStatistics (London, UK)
2022 Variable importance measures for heterogeneous causal effects International Biometric Conference (Riga, Latvia)
2021 Assumption-lean causal inference for direct and indirect effects Joint Statistical Meeting (virtual)
2021 Parameterising and inferring the effect of a continuous exposure using average derivative effects European Causal Inference Meeting (virtual)
2021 Causal machine learning workshop European Causal Inference Meeting (virtual)

Peer review service

American Journal of Epidemiology
Biometrics
Biostatistics
International Conference on Machine Learning
International Journal of Biostatistics
Journal of Causal Inference
Journal of the American Statistical Association
Journal of the Royal Statistical Society: Series A
Journal of the Royal Statistical Society: Series B
Scandinavian Journal of Statistics
Statistica Sinica