189 citations · 202 across the 18 of their papers we have counts for
3 papers · 1 filter
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Michael O'Riordan, Ciarán M. Gilligan-Lee
Interference bias is a major impediment to identifying causal effects in real-world settings. For example, vaccination reduces the transmission of a virus in a population such that…
Spillover Detection for Donor Selection in Synthetic Control Models
Michael O'Riordan, Ciarán M. Gilligan-Lee
Synthetic control (SC) models are widely used to estimate causal effects in settings with observational time-series data. To identify the causal effect on a target unit, SC require…
Non-parametric identifiability and sensitivity analysis of synthetic control models
Jakob Zeitler, Athanasios Vlontzos, Ciaran M. Gilligan-Lee
Quantifying cause and effect relationships is an important problem in many domains. The gold standard solution is to conduct a randomised controlled trial. However, in many situati…