Data Fusion for Indirect Treatment Comparisons in Health Technology Assessment
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It was a privilege to participate in the Joint Initiative for Causal Inference seminar, hosted by the Center for Targeted Machine Learning and Causal Inference at UC Berkeley.
I gave a presentation on data fusion methods for indirect treatment comparisons in health technology assessment. I tried to draw a link between practical indirect comparison problems encountered in health technology assessments and causal inference frameworks for data fusion.
