Publications

(2024). The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization. Advances in Methods and Practices in Psychological Science.

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(2024). Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes. arXiv.

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(2023). Identification of in-sample positivity violations using regression trees: The PoRT algorithm. Journal of Causal Inference.

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(2022). Causal inference in case of near-violation of positivity: comparison of methods. Biometrical Journal.

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(2022). Causal and Associational Language in Observational Health Research: A Systematic Evaluation. American Journal of Epidemiology.

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(2022). G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting. Statistical Methods in Medical Research.

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(2021). Donor HLA Class 1 Evolutionary Divergence Is a Major Predictor of Liver Allograft Rejection. Annals of Internal Medicine.

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(2021). SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis. Journal of Neurology.

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(2021). G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes. Scientific Reports.

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(2020). G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study. Scientific Reports.

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