Estimating Causal Effects by Bounding Confounding
نویسندگان
چکیده
I Assessing the causal effect of a treatment variable X on an outcome variable Y from observational data is usually difficult due to the possible existence of unobserved common causes. I In our paper we examine how, given an observed dependence between X and Y , various kinds of additional assumptions which related to the “strength” of confounding of X and Y can help to estimate the causal effect from X to Y .
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تاریخ انتشار 2014