Causal Inference and Survey Data in Paediatric Epidemiology: Generalising Treatment Effects From Observational Data

This study highlights the important role of sample weights in causal inference. Generalisability of the average treatment effect as estimated on data sampled using common survey designs to a defined population requires the use of sample weights. The estimators described provide a framework for incorporating sample weights, and their use in health research is recommended.