Spring 2020 Postdoc Seminar Series
March 18, 2020 –
Talk Title: Respondent-Driven Sampling: Challenges for Multivariate Modeling
Speaker: Mamadou Yauck, First-Year SAMSI Postdoctoral Fellow
Respondent-Driven Sampling (RDS) is a form of link-tracing sampling, a technique for sampling `hard-to-reach' communities that aims to leverage members' social relationships to reach potential participants. Current analyses of RDS for multivariate modeling suffer from three main challenges. First, there is no clear guidance on the type of inference (design-based or model-based) to conduct and the framework within which it can be achieved. Second, there is a lack of guidelines on how to deal with exogenous social effects driven by homophily, or the tendency for recruiters to recruit units with similar traits. Third, there is no consensus on how to properly model dependence within the RDS network. In this presentation, we address these issues.
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