Estimating heterogeneous policy impacts using causal machine learning: a case study of health insurance reform in Indonesia (2021)

First Author: Kreif N

Attributed to: Tailoring health policies to improve outcomes using machine learning, causal inference and operations research methods funded by MRC

No abstract provided

Type: Journal Article/Review

Parent Publication: Health Services and Outcomes Research Methodology

Issue: 2