Estimation of Direct Causal Effects

By M. Petersen, Sandra E. Sinisi, M. J. van der Laan. Epidemiology, 2006

448 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d9c0eb22eab74d153ccf60ac59e8ec0d21e1206a

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Citations in the corpus

Causal mediation analysis for stochastic interventions (2019, background): “, 2015), and alternative definitions of the (in)direct effect (Petersen et al., 2006; van der Laan and Petersen, 2008; Vansteelandt and VanderWeele, 2012; VanderWeele et al., 2014).”
Causal inference in statistics: An overview (2009, background): “Such symbiosis is now standard in epidemiology research (Robins, 2001; Petersen et al., 2006; VanderWeele and Robins, 2007; Hafeman and Schwartz, 2009; VanderWeele, 2009) yet still lacking in econometrics (Heckman, 2008; Imbens and Wooldridge, 2009).”
On Partial Identification of the Pure Direct Effect (2015, background): “The study of causal mediation has in recent years enjoyed an explosion in popularity (Robins and Greenland, 1992; Robins, 1999, 2003; Pearl, 2001; Avin et al., 2005; Taylor et al., 2005; Petersen et al., 2006; Ten Have et al., 2007; Albert, 2008; Goetgeluk et al., 2008; van der Laan and Petersen, 20”
Counterfactual VQA: A Cause-Effect Look at Language Bias (2020, background): “Causal inference has been widely studied in statistics, economics, epidemiology, and sociology [33, 34, 35, 36, 37, 38].”
Transportability across studies: A formal approach (2011, background): “Control questions, of whether a variable qualifies as a mediator, how to assess the degree of mediation from data, and what assumptions are needed for such assessment have been thoroughly investigated in the literature of mediation(11), or direct and indirect effects (see Pearl (2001); Robins (2003)”
The Causal Foundations of Structural Equation Modeling (2012, background): “12Such symbiosis is now standard in epidemiology research (Robins, 2001; Petersen et al., 2006; VanderWeele and Robins, 2007; Hafeman and Schwartz, 2009; Joffe and Green, 2009; VanderWeele, 2009; Kaufman, 2010) and is making its way slowly toward the social and behavioral sciences (Morgan and…”
Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program (2014, background): “The definition, identification, and estimation of direct and indirect effects have received much attention in recent causal inference literature (Robins and Greenland, 1992; Robins, 1999, 2003; Pearl, 2001; Avin et al., 2005; Taylor et al., 2005; Petersen et al., 2006; Ten Have et al., 2007; Goetgel”
Can we believe the DAGs? A comment on the relationship between causal DAGs and mechanisms (2014, background): “Petersen et al. 17 discuss the HIV issue in much detail and present a number of DAGs.”
3. The Foundations of Causal Inference (2010, background): “34 Such symbiosis is now standard in epidemiology research (Robins 2001; Petersen et al. 2006; VanderWeele and Robins 2007; Hafeman and Schwartz 2009; VanderWeele 2009) and is making its way slowly toward the social and behavioral sciences.”
The Mediation Formula: A Guide to the Assessment of Causal Pathways in Nonlinear Models (2011, methodology): “The power of the Mediation Formula was recognized by Petersen et al. (2006); Glynn (2009); Hafeman and Schwartz (2009); Mortensen et al. (2009); VanderWeele (2009); Kaufman (2010); Imai et al. (2010c).”