Publications

Arthur Chatton, Michèle Bally, Renée Lévesque, Ivana Malenica, Robert Platt, Mireille Schnitzer (2024). Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes. Accepted in Journal of the Royal Statistical Society, Series C.

PDF Cite DOI Supplementary

Arthur Chatton, Kévin Assob Feugo, Émilie Pilote, Héloïse Cardinal, Robert Platt, Mireille Schnitzer (2024). A Canado-European external validation of the Kidney Transplant Failure Score. Submitted.

PDF Cite DOI

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

PDF Cite DOI

Gabriel Danelian, Yohann Foucher, Maxime Léger, Florent Le Borgne, Arthur Chatton (2023). Identification of in-sample positivity violations using regression trees: The PoRT algorithm. Journal of Causal Inference.

PDF Cite DOI

Maxime Léger, Arthur Chatton, Florent Le Borgne, Romain Pirracchio, Sigismond Lasocki, Yohann Foucher (2022). Causal inference in case of near-violation of positivity: comparison of methods. Biometrical Journal.

PDF Cite DOI

Noah A. Haber, Sarah E. Wieten, Julia M. Rohrer, Onyebuchi A. Arah, Peter W. G. Tennant, Elizabeth A. Stuart, Eleanor J. Murray, Sophie Pilleron, Sze Tung Lam, Emily Riederer, Sarah Jane Howcutt, Alison E. Simmons, Clémence Leyrat, Philipp Schoenegger, Anna Booman, Mi-Suk Kang Dufour, Ashley L. O’Donoghue, Rebekah Baglini, Stefanie Do, Mari De La Rosa Takashima, Thomas Rhys Evans, Daloha Rodriguez-Molina, Taym M. Alsalti, Daniel J. Dunleavy, Gideon Meyerowitz-Katz, Alberto Antonietti, Jose A. Calvache, Mark J. Kelson, Meg G. Salvia, Camila Olarte Parra, Saman Khalatbari-Soltani, Taylor McLinden, Arthur Chatton, Jessie Seiler, Andreea Steriu, Talal S. Alshihayb, Sarah E. Twardowski, Julia Dabravolskaj, Eric Au, Rachel A. Hoopsick, Shashank Suresh, Nicholas Judd, Sebastián Peña, Cathrine Axfors, Palwasha Khan, Ariadne E. Rivera Aguirre, Nnaemeka U. Odo, Ian Schmid, Matthew P. Fox (2022). Causal and Associational Language in Observational Health Research: A Systematic Evaluation. American Journal of Epidemiology.

PDF Cite DOI

Arthur Chatton, Florent Le Borgne, Clémence Leyrat, Yohann Foucher (2022). G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting. Statistical Methods in Medical Research.

PDF Cite DOI

Cyrille Féray, Jean-Luc Taupin, Mylène Sebagh, Vincent Allain, Zeynep Demir, Marc-Antoine Allard, Christophe Desterke, Audrey Coilly, Faouzi Saliba, Eric Vibert, Daniel Azoulay, Catherine Guettier, Arthur Chatton, Dominique Debray, Sophie Caillat-Zucman, Didier Samuel (2021). Donor HLA Class 1 Evolutionary Divergence Is a Major Predictor of Liver Allograft Rejection. Annals of Internal Medicine.

PDF Cite DOI

F. Lejeune, Arthur Chatton, D.-A. Laplaud, E. Le Page, S. Wiertlewski, G. Edan, A. Kerbrat, D. Veillard, S. Hamonic, N. Jousset, F. Le Frère, J.-C. Ouallet, B. Brochet, A. Ruet, Y. Foucher, Laure Michel (2021). SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis. Journal of Neurology.

PDF Cite DOI

Florent Le Borgne, Arthur Chatton, Maxime Léger, Rémi Lenain, Yohann Foucher (2021). G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes. Scientific Reports.

PDF Cite DOI

Arthur Chatton, Florent Le Borgne, Clémence Leyrat, Florence Gillaizeau, Chloé Rousseau, Laetitia Barbin, David Laplaud, Maxime Léger, Bruno Giraudeau, Yohann Foucher (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.

PDF Cite DOI