Combining Multiple Observational Data Sources to Estimate Causal Effects
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DOI: 10.1080/01621459.2019.1609973
Abstract: Abstract The era of big data has witnessed an increasing availability of multiple data sources for statistical analyses. We consider estimation of causal effects combining big main data with unmeasured confounders and smaller validation data… read more here.
Keywords: data sources; big main; effects combining; causal effects ... See more keywords