Sensitivity analysis for assumptions of general mediation analysis
نویسندگان
چکیده
Mediation analysis is widely used to identify significant mediators and estimate the mediation (direct indirect) effects in causal pathways between an exposure variable a response variable. In analysis, effect refers transmitted by mediator intervening relationship Traditional methods, such as difference coefficient method, product of counterfactual framework all require several key assumptions. Thus, estimation can be biased when one or more assumptions are violated. addition traditional Yu et al. proposed general method that use predictive models any types variable(s), outcome(s). However, whether this relies on for methods unknown. paper, we perform series simulation studies investigate impact violation using al.’s method. We R package mma estimations. find three also essential This paper provides pipeline simulations evaluate analysis.
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ژورنال
عنوان ژورنال: Communications in Statistics - Simulation and Computation
سال: 2021
ISSN: ['0361-0918', '1532-4141']
DOI: https://doi.org/10.1080/03610918.2021.1908556