Marko Veljanovski

DoubleLingo: Causal Estimation with Large Language Models

Estimating causal effects from non-randomized data requires assumptions about the underlying data-generating process. To achieve unbiased estimates of the causal effect of a treatment on an outcome, we typically adjust for any confounding variables that influence both treatment and outcome. When suc…