Selected Publications
See google scholar for a full list.
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Parameterising the effect of a continuous treatment using average derivative effects.
Hines, O. J., Diaz-Ordaz, K., & Vansteelandt, S.
Biometrika, 2026. -
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, 2025. -
Demystifying statistical learning based on efficient influence functions.
Hines, O., Dukes, O., Diaz-Ordaz, K., & Vansteelandt, S.
The American Statistician, 2022. -
Robust inference for mediated effects in partially linear models.
Hines, O., Vansteelandt, S., & Diaz-Ordaz, K.
Psychometrika, 2021. -
Causal graphs for the analysis of genetic cohort data.
Hines, O., Diaz-Ordaz, K., Vansteelandt, S., & Jamshidi, Y.
Physiological Genomics, 2020.
Preprints
- Learning density ratios in causal inference using Bregman-Riesz regression
Hines O.J. & Miles C.H. Arxiv, 2025.
Presentations and workshops
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Variable importance measures for heterogeneous treatment effects. Joint Statistical Meeting (Nashville, USA), August 2025
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Causal inference with continuous treatments, a tale of two estimands. Symposium organised by the Centre for Microdata Methods and Practice (London, UK), December 2023.
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Bridging the divide: data science and statistics in academia and industry. Invited Ghent University Seminar (Ghent, Belgium), October 2023.
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Demystifying statistical learning based on efficient influence functions. CMStatistics (London, UK) December 2022.
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Variable importance measures for heterogeneous causal effects. International Biometric Conference (Riga, Latvia) July 2022.
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Assumption-lean causal inference for direct and indirect effects. Joint Statistical Meeting (virtual) August 2021.
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Parameterising and inferring the effect of a continuous exposure using average derivative effects. European Causal Inference Meeting (virtual), May 2021.
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Causal machine learning workshop. European Causal Inference Meeting (virtual), May 2021.
Peer review service
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American Journal of Epidemiology
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Biometrics
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Biostatistics
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International Journal of Biostatistics
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Journal of the American Statistical Association
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Journal of the Royal Statistical Society: Series A
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Journal of the Royal Statistical Society: Series B
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Scandinavian Journal of Statistics
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Statistica Sinica