Identification of Causal Parameters in Randomized Studies With Mediating Variables

By Michael E. Sobel. 2008

221 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1545362fd28dc5c6406117892d22f455cda6460c

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In Statistics and Probability

Citations in the corpus

Father Involvement in Immigrant and Ethnically Diverse Families from the Prenatal Period to the Second Year: Prediction and Mediating Mechanisms (2009, unknown): “The association of prenatal involvement with later involvement through the quality of the mother–father relationship was significant, using Sobel's methodology (t=2.69, p<.01; Sobel 2008).”
The Causal Foundations of Structural Equation Modeling (2012, methodology): “…the analysis of mediation has long been a thorny issue in the social and behavioral sciences (Baron and Kenny, 1986; MacKinnon, 2008) primarily because the distinction between causal parameters and their regressional interpretations were often conflated, as in (Holland, 1995) and (Sobel, 2008).”
A general approach to causal mediation analysis. (2010, unknown): “Recently, some scholars have considered the use of instrumental variables for causal mediation analysis (e.g., Albert, 2008; Jo, 2008; Sobel, 2008).”
When the money runs out: Do cash transfers have sustained effects on human capital accumulation? (2016, unknown): “…does not open a ‘backdoor path’ between the mediator and some other, unobserved determinant of outcomes (for more discussion of these assumptions, see Sobel 2008; Flores and Flores-Lagunes 2009; Bullock, Green and Ha 2010; Imai, Tingley and Yamamoto 2013; Huber 2014; and Heckman and Pinto 2015).”
Interactions do not only tell us when, but can also tell us how: Testing process hypotheses by interaction (2011, background): “, the indirect effect), is the exhaustive core of traditional mediation analysis and fully redundant in meaning with paths a and b in the form of their product (Hayes, 2009; Kenny et al., 1998; Sobel, 2008).”
The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, background): “…and Bolger, 2002; MacKinnon et al., 2007a) primarily because structural equation modeling in those sciences were deeply entrenched in linear analysis, where the distinction between causal parameters and their regressional interpretations can easily be conflated (as in Holland, 1995; Sobel, 2008).”
Total, Direct, and Indirect Effects in Logit Models (2011, methodology): “Total, direct, and indirect effects in a logit model 1 We use the word „effect‟ in the sense in which it is commonly used in much social science: we do not discuss the assumptions that would be required to consider these effects causal (see Sobel 2008; VanderWeele 2010).”
Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros (2013, methodology): “…conceptual definitions of causal effects, and recently, a number of authors have been using the counterfactual framework to translate the SEM approach within the counterfactual framework 1 (e.g., Imai, Keele, & Tingley, 2010; Jo, 2008; Pearl, 2011; Sobel, 2008; VanderWeele & Vansteelandt, 2009).”
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects (2010, background): “However, Sobel (2008) maintains, among others, the assumption that the causal effect of the treatment is entirely through the mediator and applies the instrumental variables technique of Angrist, Imbens and Rubin (1996).”
Controlled direct and mediated effects: definition, identification and bounds (2010, background): “…is a considerable causal inference literature on the estimation of controlled direct effects (Robins, 1999; Petersen et al., 2006; Ten Have et al., 2007; Goetgeluk et al., 2008; van der Laan & Petersen, 2008; Sobel, 2008; VanderWeele, 2009b; VanderWeele & Vansteelandt, 2009; Vansteelandt, 2009).”
Functional Causal Mediation Analysis With an Application to Brain Connectivity (2012, methodology): “We further extend results from Sobel (2008), who deals with the standard non-functional case described in Fig.”
Ratio of Mediator Probability Weighting for Estimating Natural Direct and Indirect Effects (2025, background): “…direct effect of the treatment on the outcome does not depend on any mediator value, under identification assumptions explicated by previous researchers (Holland, 1988; Pearl, 2001; Robins & Greenland, 1992; Sobel, 2008), the natural direct effect and the controlled direct effect will become equal.”
Interpretation and identification of causal mediation. (2014, unknown): “These developments, coupled with the capability of expressing and visualizing causal assumptions in graphical forms, have given rise to an explosion of mediation studies that have taken natural effects as the gold standard for analysis (e.g., Albert & Nelson, 2011; Coffman & Zhong, 2012; Hafeman & S”