Dear all,
We are happy to announce the next CRAM (Cognitive Research at McGill) session of this
term on Friday, November 8th. Dr. Milica Miocevic will be speaking to us about Bayesian
Mediation analysis.
The talk will span from 12pm-1pm in room 1552 of 2001 McGill College Avenue. Coffee and
light snacks will be provided. Please BYOM (bring your own mug). All are welcome!
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Title: Bayesian Mediation analysis
Dr. Milica Miocevic, McGill University
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Abstract: Mediation analysis is used to study intermediate variables (M) that transmit the
effect of an independent variable (X) on a dependent variable (Y). For example, an
intervention designed to reduce unhealthy habits (X) might affect fruit and vegetable
consumption (M), which in turn might affect general health (Y). In this hypothetical study,
the quantity of interest is the indirect effect of the intervention on general health through
fruit and vegetable consumption.
Mediation analysis can be performed using both classical (frequentist) and Bayesian
approaches (Yuan & MacKinnon, 2009). In recent years social science researchers have
turned to Bayesian methods when they encounter convergence issues (Chen, Choi, Weiss,
& Stapleton, 2014), issues due to small samples (Lee & Song, 2004), and when they wish to
report the probability that a parameter lies within a certain interval (Rindskopf, 2012).
Bayesian methods can easily accommodate the asymmetric distributions of the mediated
effect and other functions of the mediated effect, e.g. effect size measures and causal
estimates of indirect and direct effects. Furthermore, Bayesian methods provide an intuitive
framework for the inclusion of relevant prior information into the statistical analysis. In this
talk I will discuss the advantages of Bayesian mediation analysis, summarize
recommendations that can be made for applied researchers based on the methodological
literature on Bayesian mediation analysis thus far, and conclude with future directions for
this line of research.
Warm regards,
The CRAM Team
(Kevin da Silva Castanheira, Anna Mini Jos, & Azara Lalla)