BEMC NOV 2021 - Sebastián Martínez - "Causal Inference in the Presence of Interference"
Channel: Berlin Epidemiological Methods Colloquium
Date: 2021-11-11

Sebastián Martínez, Glasgow, Scotland
"Causal inference in the presence of interference: generalised propensity score application in public health"
"Traditional causal inference methodologies are based on the assumption that treatment does not spill over between units. There are several applications in which this assumption does not hold and the causal inference community has risen to the challenge, significantly expanding the literature that looks at this problem during the last 10-15 years. In this talk we are going to look at some of the different ideas and focus on disentangling main effects from spillover effects in observational settings using a generalised propensity score methodology developed by Airoldi et al. (2020). We use simulations to explore some of the boundaries of this particular method and apply it to a public health peer-driven intervention."