Causality and Psychopathology: Finding the Determinants of Disorders and their Cures

By P. Shrout, Katherine M. Keyes, Katherine A. Ornstein. 2010

118 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7a19ecdd5241da94cef9981ead3725bce99700bf

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Citations in the corpus

Identification and Sensitivity Analysis for Multiple Causal Mechanisms: Revisiting Evidence from Framing Experiments (2013, background): “Some scholars (e.g., Robins and Richardson 2010) consider this distinction to be important because one can conceive of a randomized experiment on a separate exchangeable population with which Assumption 2 can be tested, while such an experiment does not exist for Assumption 1 (Section 7) even as a…”
Causal mediation analysis for stochastic interventions (2019, unknown): “Thus, the direct effect for a population intervention corresponds to contrasts between treatment regimes of a randomized experiment via interventions on A and Z, unlike the natural direct effect for the average treatment effect (Robins and Richardson, 2010).”
Interpretation and identification of causal mediation. (2014, unknown): “…α through the difference in the mean of M between the two experimental groups, which we 5Readers familiar with non-parametric SEM as introduced in (Pearl, 2009b, 2010b, 2012a; Petersen et al., 2006; VanderWeele, 2009) may go directly to Section 3. write as E[M |do(T = 1)]−E[M |do(T = 0)].6 At…”
Semiparametric Theory for Causal Mediation Analysis: efficiency bounds, multiple robustness, and sensitivity analysis (2012, methodology): “a setting not handled by the technique of VanderWeele (2010). The method of Hafeman(2008) which is restricted to binary data, shares some of the limitations given above.”
On Partial Identification of the Pure Direct Effect (2015, methodology): “However, such an independence is neither experimentally verifiable nor enforceable (Robins and Richardson, 2010).”
CAUSAL INFERENCE WITH A GRAPHICAL HIERARCHY OF INTERVENTIONS (2014, background): “Here, we leave the issues of applicability of edge interventions and mediation analysis in particular settings aside [14], and consider questions of identification, and the form of resulting functionals.”
Nonparametric efficient causal mediation with intermediate confounders (2019, background): “…bounds on the natural (in)direct effects without cross-world counterfactual independencies or in the presence of intermediate confounders (e.g., Robins and Richardson, 2010; Tchetgen and Phiri, 2014; Miles et al., 2015), whereas the second class of methods is concerned with alternative…”
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros (2013, background): “Technical examples can be constructed where one set of identification assumptions holds and another does not (see also Robins & Richardson, 2010), but on a causal diagram corresponding to a set of nonparametric structural equations, whenever one set of the assumptions among those in This document…”
Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program (2014, unknown): “As such, while often practically meaningful, thePEMY path-specific effect must be interpreted with care and not blindly substituted for the NIE.”