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1. Confounder Parsing for Text Matching
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In observational studies for policy evaluation, matching is used in service of causal inference to simulate randomization and thus reduce selection bias that might occur when treatment assignment differs systematically. This is done by balancing the distribution of confounding covariates measured before treatments. READ MORE
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