Search Results - "Chatton, Arthur"

G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study by Chatton, Arthur, Le Borgne, Florent, Leyrat, Clémence, Gillaizeau, Florence, Rousseau, Chloé, Barbin, Laetitia, Laplaud, David, Léger, Maxime, Giraudeau, Bruno, Foucher, Yohann

“…Controlling for confounding bias is crucial in causal inference. Distinct methods are currently employed to mitigate the effects of confounding bias. Each…”
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G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes by Le Borgne, Florent, Chatton, Arthur, Léger, Maxime, Lenain, Rémi, Foucher, Yohann

“…In clinical research, there is a growing interest in the use of propensity score-based methods to estimate causal effects. G-computation is an alternative…”
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Identification of in-sample positivity violations using regression trees: The PoRT algorithm by Danelian, Gabriel, Foucher, Yohann, Léger, Maxime, Le Borgne, Florent, Chatton, Arthur

“…Abstract Background The positivity assumption is crucial when drawing causal inferences from observational studies, but it is often overlooked in practice. A…”
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The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization by Chatton, Arthur, Rohrer, Julia M.

“…Recent developments in the causal-inference literature have renewed psychologists’ interest in how to improve causal conclusions based on observational data. A…”
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Causal inference in case of near‐violation of positivity: comparison of methods by Léger, Maxime, Chatton, Arthur, Le Borgne, Florent, Pirracchio, Romain, Lasocki, Sigismond, Foucher, Yohann

“…In causal studies, the near‐violation of the positivity may occur by chance, because of sample‐to‐sample fluctuation despite the theoretical veracity of the…”
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G-computation and doubly robust standardisation for continuous-time data: A comparison with inverse probability weighting by Chatton, Arthur, Borgne, Florent Le, Leyrat, Clémence, Foucher, Yohann

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

“…Abstract We estimated the degree to which language used in the high-profile medical/public health/epidemiology literature implied causality using language…”
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Donor HLA Class 1 Evolutionary Divergence Is a Major Predictor of Liver Allograft Rejection: A Retrospective Cohort Study by Féray, Cyrille, Taupin, Jean-Luc, Sebagh, Mylène, Allain, Vincent, Demir, Zeynep, Allard, Marc-Antoine, Desterke, Christophe, Coilly, Audrey, Saliba, Faouzi, Vibert, Eric, Azoulay, Daniel, Guettier, Catherine, Chatton, Arthur, Debray, Dominique, Caillat-Zucman, Sophie, Samuel, Didier

“…Background: The HLA evolutionary divergence (HED), a continuous metric quantifying the peptidic differences between 2 homologous HLA alleles, reflects the…”
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G-computation for increasing performances of clinical trials with individual randomization and binary response by de Keizer, Joe, Lenain, Rémi, Porcher, Raphaël, Zoha, Sarah, Chatton, Arthur, Foucher, Yohann

“…In a clinical trial, the random allocation aims to balance prognostic factors between arms, preventing true confounders. However, residual differences due to…”
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Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes by Chatton, Arthur, Bally, Michèle, Lévesque, Renée, Malenica, Ivana, Platt, Robert W, Schnitzer, Mireille E

“…Obtaining continuously updated predictions is a major challenge for personalised medicine. Leveraging combinations of parametric regressions and machine…”
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