41 citations · 43 across the 9 of their papers we have counts for
8 papers · 1 filter
Causally Interpretable Meta-Mediation Analysis With Missing At Random Mediator and Outcome Data
Marie-Félicia Beclin, Apolline Courrèges-Vartanian, Geneviève Lefebvre +1
Meta-analyzing natural indirect effect estimates from multiple studies is increas- ingly used to synthesize evidence on causal pathways of interest. However, stan- dard mediation m…
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 framework of recanting twin path-specific effects has recently been propose to address the issue of intermediate confounding in causal mediation analysis, enabling the decompos…
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,…
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…
Recanting twins: addressing intermediate confounding in mediation analysis
Tat-Thang Vo, Nicholas Williams, Richard Liu +2
The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing th…
Structural mean models for instrumented difference-in-differences
Tat-Thang Vo, Ting Ye, Ashkan Ertefaie +5
In the standard difference-in-differences research design, the parallel trends assumption may be violated when the relationship between the exposure trend and the outcome trend is…
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…
Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks
Tat-Thang Vo, Hilary Davies-Kershaw, Ruth Hackett +1
This proposal is motivated by an analysis of the English Longitudinal Study of Ageing (ELSA), which aims to investigate the role of loneliness in explaining the negative impact of…