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General issues with matching have also been elevated by Judea Pearl, that has argued that hidden bias may really increase mainly because matching on noticed variables may perhaps unleash bias resulting from dormant unobserved confounders. Similarly, Pearl has argued that bias reduction can only be certain (asymptotically) by modelling the qualitative causal associations in between cure, end result, noticed and unobserved covariates.
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