

JOB: Postdoc position in behavioral data analysis: Dealing with multiple mediators in causal mediati |
jueves, 09 febrero 2017 | |
Postdoc position in behavioral data analysis: Dealing with multiple mediators in causal mediation analysis In this project, the aim is to make progress in the multiple mediator setting by building on new conceptual definitions of direct and indirect effects and the development of accompanying estimation procedures. The focus will be on settings where mediators are strongly related, because they are representations of a repeatedly measured mediator or manifestations of an underlying latent process. The project will be driven by realistic problems in behavioral sciences that involve mediation. The project also entails the development of open software to make the newly developed procedures easily accessible. This is essential with respect to valorisation as it ensures that the developed procedures can be readily used. Our research group has previously developed Medflex, an R package for flexible mediation analysis using natural effects models (Steen et al., 2015). This project obtained a grant from the Research Foundation Flanders (FWO). The successful candidate will closely work with all three promoters of the project and will split her/his time between the two departments. Candidate The successful candidate will hold a PhD degree in Statistical Data Analysis (or related discipline) or in Psychology, Social Sciences or Public Health (with a strong focus on statistical research). She/he will be hosted within a dynamic group of researchers. She/he will be offered excellent training and development opportunities. Duration: 36 months Date of start: as soon as possible (negotiable but preferably before October 1st, 2017) References Beatrijs Moerkerke |