Identifying direct and indirect effects in a non‐counterfactual framework
By S. Geneletti. 2007
118 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2e06c52f339ce72a0b081f76ff6637cc56b8b0ef
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In Statistics and Probability
- Tyler J. VanderWeele
- Roland R. Ramsahai
- Judea Pearl
- A. P. Dawid
- Martin Huber
- S. Geneletti
- Viviana Celli
- Vanessa Didelez
Citations in the corpus
- Direct and Indirect Effects of Sequential Treatments (2006, methodology): “This is an example modified from Pearl & Robins (1995). It is shown in Dawid & Didelez (2005) that if (U1, U2) are unobservable only unconditional interventions in Z can be identified with the rules (3), because Y⊥⊥σX |(X; σZ = s) holds only if σZ = s ‘cuts off’ the arrow from V to Z as shown in Fig”
- Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview (2010, background): “…in this way include: confounding (Dawid, 2002); partial compliance (Dawid, 2003); direct and indirect effects (Didelez, Dawid and Geneletti, 2006; Geneletti, 2007); identification of the effect of treatment on the treated (Geneletti and Dawid, 2010); Mendelian randomization (Didelez and Sheehan,…”
- Augmented designs to assess principal strata direct effects (2011, methodology): “Geneletti (2007) applied similar concepts by using a decision theoretic approach, where relationships between variables are encoded by using conditional independence statements, but without using counterfactuals (Dawid, 2000).”
- Causal Bounds and Observable Constraints for Non-deterministic Models (2012, methodology): “The model has been successfully applied in defining direct effects (Geneletti, 2007) and dynamic treatment strategies (Dawid and Didelez, 2010), to name a few.”
- Controlled direct and mediated effects: definition, identification and bounds (2010, background): “A number of authors have considered different identification strategies for direct and indirect effects (Robins & Greenland, 1992; Pearl, 2001; Robins, 2003; Didelez et al., 2006; Petersen et al., 2006; Geneletti, 2007; Hafeman & VanderWeele, 2010; Imai et al., 2010).”
- Causal Inference Under Multiple Versions of Treatment (2013, unknown): “The effects are thus much closer to those defined in the direct effects literature by stochastic interventions on the mediator [11, 12] and Propositions 5 and 6 would in fact follow from those results appropriately replacing the mediator by version.”
- Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables (2014, background): “Robins and Greenland (1992) and Geneletti (2007) considered an exogenous treatment and an endogenous mediator with a ‘perfect’ instrument that forces the mediator to take a particular (and desired) value.”
- The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, background): “…decisions and for the purposes of explanation and identifying causal mechanisms (Joffe et al., 2007; Albert and Nelson, 2011; Mortensen et al., 2009; Imai et al., 2010a; Geneletti, 2007; Robins et al., 2007, 2009; Petersen et al., 2006; Hafeman and Schwartz, 2009; Kaufman, 2010; Cai et al., 2008).”
- Simple relations between principal stratification and direct and indirect effects (2008, background): “Didelez et al. (2006) and Geneletti (2007) apply similar concepts to a decision network without employing counterfactuals.”
- Causal mediation analysis in economics: Objectives, assumptions, models (2021, background): “Can be found some examples in Instrumental variables (See for example Robins and Greenland, (1992); Geneletti (2007); Imai et el.”