Causal inference

The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization
Recent developments in the causal-inference literature have renewed psychologists\’ interest in how to improve causal conclusions based …
Arthur Chatton, Julia Rohrer
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Identification of in-sample positivity violations using regression trees: The PoRT algorithm
Gabriel Danelian, Yohann Foucher, Maxime Léger, Florent Le Borgne, Arthur Chatton
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Causal inference in case of near-violation of positivity: comparison of methods
Maxime Léger, Arthur Chatton, Florent Le Borgne, Romain Pirracchio, Sigismond Lasocki, Yohann Foucher
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G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting
In time-to-event settings, g-computation and doubly robust estimators are based on discrete-time data. However, many biological …
Arthur Chatton, Florent Le Borgne, Clémence Leyrat, Yohann Foucher
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