Odds ratios for mediation analysis for a dichotomous outcome.
By Tyler J. VanderWeele, Stijn Vansteelandt. 2010
813 citations recorded by the source corpus.
Subfields: Statistics and Probability
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In Statistics and Probability
- Tyler J. VanderWeele
- Kristopher J Preacher
- Stijn Vansteelandt
- E. Sanderson
- Andrew F. Hayes
- Ilya Shpitser
- E. T. Tchetgen Tchetgen
- L. Valeri
Citations in the corpus
- The table 2 fallacy: presenting and interpreting confounder and modifier coefficients. (2013, background): “Variation (heterogeneity) of effect measures across covariate levels can severely complicate separation of direct and indirect effects (3, 14).”
- Semiparametric Theory for Causal Mediation Analysis: efficiency bounds, multiple robustness, and sensitivity analysis (2012, background): “…by Pearl’s mediation functional, several authors [Imai, Keele and Tingley (2010), Imai, Keele and Yamamoto (2010), Pearl (2011), VanderWeele (2009), Vanderweele and Vansteelandt (2010)] have demonstrated how the simple linear structural equation approach generalizes to accommodate both, the…”
- Multivariable Mendelian Randomization and Mediation. (2020, background): “(Greenland et al. 1999; VanderWeele and Vansteelandt 2010; Burgess 2017) In practice this means that the total and direct effects estimated may differ because the direct effect is estimated conditional on the potential mediator, even if the potential mediator is not actually a mediator of the…”
- Mediation Analysis with Multiple Mediators (2014, methodology): “With a binary outcome, we can define direct and indirect effects on a risk ratio or odds ratio scale (VanderWeele and Vansteelandt, 2010).”
- Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros (2013, methodology): “…mediated can be defined as the ratio of the natural indirect effect to the total effect when the outcome is continuous; the proportion mediated on risk difference scale can also be calculated when the outcome is binary using a transformation of the odds ratios (VanderWeele & Vansteelandt, 2010).”
- Imputation Strategies for the Estimation of Natural Direct and Indirect Effects (2012, background): “For instance, when models (1) and (2) both hold, the mediator is normal with constant variance and the outcome mean is close to zero, VanderWeele and Vansteelandt (2010) find that the natural direct effect odds ratio odds{Y (a,M(a∗)) = 1|C} odds{Y (a∗,M(a∗)) = 1|C} ≈ exp(βa) and that the natural…”
- Advances in mediation analysis: a survey and synthesis of new developments. (2015, methodology): “Using the logistic models for binary M and Y, Buis (2010), Huang et al. (2004), and VanderWeele & Vansteelandt (2010) all note that the exponentiated total, direct, and indirect effects have useful interpretations when framed as odds ratios.”
- A simple unified approach for estimating natural direct and indirect effects. (2012, methodology): “A formal description of these assumptions is, for instance, given in the report by VanderWeele and Vansteelandt (4).”
- Statistical mediation analysis with a multicategorical independent variable. (2014, background): “…in a mediation model are not confounded by omitted variables (Imai, Keele, & Tingley, 2010; Imai, Keele, &Yamamoto, 2010), and if no importantmoderation effects go unmodelled (Muller, Yzerbyt, & Judd, 2008; Pearl, 2012; VanderWeele & Vansteelandt, 2009, 2010; Yzerbyt, Muller, & Judd, 2004).”
- On Partial Identification of the Pure Direct Effect (2015, background): “…al., 2005; Petersen et al., 2006; Ten Have et al., 2007; Albert, 2008; Goetgeluk et al., 2008; van der Laan and Petersen, 2008; VanderWeele, 2009; VanderWeele and Vansteelandt, 2009, 2010; Imai et al., 2010a,b; Albert and Nelson, 2011; Tchetgen Tchetgen, 2011; VanderWeele, 2011; Albert, 2012;…”
- Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019, methodology): “If there is no interaction between the exposure and mediator, the estimate of the natural direct effect is equivalent to the controlled direct effect, and indeed would align with estimates from Baron and Kenny approaches to mediation [4, 9, 16].”
- Estimation of a Semiparametric Natural Direct Effect Model Incorporating Baseline Covariates (2014, neutral): “By contrast with our approach, the classical approach of Baron and Kenny assumes the model , as do the parametric approaches considered in Imai et al. (2010b,a) and VanderWeele & Vansteelandt (2010), whereas Petersen & van der Laan (2008) consider the union model .”
- Mediation Analysis: A Practitioner's Guide. (2016, neutral): “The technique uses two sensitivity analysis parameters.”