2021
DOI: 10.1016/j.csbj.2021.05.042
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Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges

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Cited by 65 publications
(54 citation statements)
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References 202 publications
(360 reference statements)
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“…Mediator analysis detects whether a variable plays a mediating role by statistical methods [56][57][58]. Based on former literature, mediation was tested by the causal step procedure [59][60][61], and all variables were analyzed in regression equations interpreted in Models ( 1)- (3).…”
Section: Mediator Effect Results Of Investment In Charging Stationsmentioning
confidence: 99%
“…Mediator analysis detects whether a variable plays a mediating role by statistical methods [56][57][58]. Based on former literature, mediation was tested by the causal step procedure [59][60][61], and all variables were analyzed in regression equations interpreted in Models ( 1)- (3).…”
Section: Mediator Effect Results Of Investment In Charging Stationsmentioning
confidence: 99%
“…However, there is no uniform dominance of one method over the others across all simulation scenarios. The performance of the methods differs according to values of π 00 , π 01 , π 10 , π 11 , the sample size and the strength of independent variables explaining the variation of the dependent variable in the two models (1) and ( 2), as captured by the variance of non-zero α, β or R 2 in models (7) and (8).…”
Section: Discussionmentioning
confidence: 99%
“…It becomes increasingly popular in recent decades in epidemiology [1,2,3,4,5]. With the advances of high-throughput technologies in genomics studies, mediation analysis often requires analyzing a large number of potential mediators [6,7]. These agnostic explorations of high-dimensional mediators allow researchers to investigate molecular traits associated with complex diseases that may be a result of socioeconomic inequalities, environmental pollution, or other exogenous factors.…”
Section: Introductionmentioning
confidence: 99%
“…It is increasingly used in environmental epidemiology, in particular in Developmental Origins of Health and Disease (DOHaD) research and in molecular epidemiology studies (Blum et al, 2020;Nakamura et al, 2021). With the development of high-throughput screening technologies, these methods have become key tools to investigate the pathways by which environmental exposures can affect health outcomes, and more specifically those involving epigenetic mechanisms such as DNA methylation (DNAm) variations (MacKinnon et al, 2007;VanderWeele, 2015VanderWeele, , 2016Zeng et al, 2021). High-dimensional mediation analysis is an extension of unidimensional mediation analysis including multiple mediators (Blum et al, 2020).…”
Section: Introductionmentioning
confidence: 99%