Explanation in causal inference: Methods for mediation and interaction.

By J. Böhnke. 2016

1,250 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science

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Citations in the corpus

Causal Models for Dynamical Systems (2020, background): “Causal inference for longitudinal studies has been studied extensively, too [e.g. Vanderweele, 2015, Aalen et al., 2008, Robins, 1997], where the results are often formulated in the language of potential outcomes [Imbens and Rubin, 2015], rather than SCMs.”
Fairness in Decision-Making - The Causal Explanation Formula (2018, background): “Pearl introduced the causal mediation formula for arbitrary non-parametric models, which decomposes the total effect into what was called the natural direct (NDE) and indirect (NIE) effects (Pearl 2001) (see also (Imai, Keele, and Yamamoto 2010; Imai et al. 2011; VanderWeele 2015).”
Unbiased Scene Graph Generation From Biased Training (2020, neutral): “More detailed background knowledge can be found in [40, 41, 57].”
Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms (2020, background): “And in the last decade or so, several important papers and a few books have introduced systematic approaches to integrating moderation and mediation analysis (Edwards & Lambert, 2007; Fairchild & MacKinnon, 2009; Hayes, 2018a; Langred, 2004; MacKinnon, 2008; Muller, Judd, & Yzerbyt, 2005; Preacher, ”
Long-Term Economic Distress, Cultural Backlash, and Support for Brexit (2019, background): “…the treatment is independent of all potential values of the outcome and mediating variables, and (b) the observed mediator is independent of all potential outcomes given the observed treatment and pretreatment covariates (Imai, Keele, & Tingley, 2010; see also VanderWeele, 2015, pp. 24-26).”
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates (2020, background): “Mediator variables require a different set of adjustments than confounders to find the “natural direct effect” between treatment and outcome (VanderWeele, 2015; Pearl, 2014).”
Econometric Methods for Program Evaluation (2018, methodology): “Among them are mediation analysis (VanderWeele, 2015; Lok, 2016), dynamic treatment effects and duration models (Abbring and Van den Berg, 2003; Abbring and Heckman, 2007), bounds and partial identification methods (Manski, 2008; Tamer, 2010), and optimal design of policies (Hirano and Porter,…”
Principal stratification analysis using principal scores (2016, methodology): “h are similar to the ignorability assumption used in causal inference with observational studies (Rosenbaum and Rubin 1983b) and the sequential ignorability assumption used in mediation analysis (cf. VanderWeele 2015). In many cases, the more covariates we observe, the more plausible these assumptio”
Multivariable Mendelian Randomization and Mediation. (2020, background): “From these effects the proportion of the total effect mediated can be calculated as the indirect effect/total effect. effects of the exposure on the outcome and calculate the proportion mediated (Baron and Kenny 1986; MacKinnon 2012; VanderWeele 2015; VanderWeele 2016).”
CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS (2019, neutral): “Formally, we can deﬁne these causal targets through the NPSEM (Pearl 2014; VanderWeele 2015).”
On Group Comparisons With Logistic Regression Models (2020, background): “In that context, there are also differences in how linear and binary response models behave, but the reasons and interpretations of these differences go well beyond the topics of group comparisons discussed here (for the complex questions of mediation analysis, see e.g., VanderWeele 2015).”
The causal interpretation of estimated associations in regression models (2019, background): “See Imai et al. (2011), Acharya et al. (2016), and Van der Weele (2015) for more details on indirect and direct effects.”
Sensitivity Analysis in Observational Research: Introducing the E-Value (2017, methodology): “Numerous sensitivity analysis techniques have been developed for different statistical models (14-22,24-40).”
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (2018, neutral): “In the causal inference literature (e.g., Cox 1984; VanderWeele 2015; Dasgupta, Pillai, and Rubin 2015), researchers define the AIE of treatment combination (al, bm) relative to baseline condition (a0, b0) as,”
Causal mediation analysis in economics: Objectives, assumptions, models (2021, methodology): “Using the potential outcome notation, I can de ne three quantities of interest, mostly used in mediation analysis, see for instance VanderWeele (2015): 1.”
Mediation Analysis: A Practitioner's Guide. (2016, background): “It can be shown (8) that if Figure 3 represents the correct causal structure ov i it y A cce B = γλ γ + λ − . can alter the direct and indirect effects) we can take our direct and indirect effects estimates and their conﬁdence intervals from the observed data and divide the direct effect estimate an”