From the 2 of 5 linked papers with an AI index.
5 papers
Causally Interpretable Meta-Mediation Analysis With Missing At Random Mediator and Outcome Data
Marie-Félicia Beclin, Apolline Courrèges-Vartanian, Geneviève Lefebvre +1
The paper proposes a new method for meta‑analyzing natural indirect effects that handles missing mediator and outcome data, transports study‑specific estimates to a defined target…
On the magnitude, sign and ranking of recanting-twin path-specific effects
Tran Trong Khoi Le, Pham Hien Trang Tu, Nhat Long Ngo +1
The paper examines how recanting‑twin path‑specific effects compare to natural path‑specific effects, providing non‑parametric bounds on their differences and showing via simulatio…
A novel decomposition to explain heterogeneity in observational and randomized studies of causality
Brian Gilbert, Ivan Dıaz, Kara E. Rudolph +2
This paper introduces a novel decomposition framework to explain heterogeneity in causal effects observed across different studies, considering both observational and randomized se…
Transportability of aggregate trial results to an external environment in causally interpretable meta-analysis
Tran Trong Khoi Le, Marie-Felicia Béclin, Sivem Afach +1
In evidence synthesis, multilevel modeling approaches (MMAs) are commonly employed to combine aggregate data (AD) and individual participant data (IPD). These approaches rely on an…
Integration of aggregated data in causally interpretable meta-analysis by inverse weighting
Tat-Thang Vo, Tran Trong Khoi Le, Sivem Afach +1
Obtaining causally interpretable meta-analysis results is challenging when there are differences in the distribution of effect modifiers between eligible trials. To overcome this,…