In n:n coarsened exact matching, is there ever a situation where it makes more sense to exclude study members and their respective control members that have extremely large weights? For example, 500 study members match to just 25 control members. Might it be better to exclude both study and control members rather than introduce such large weights and variance to the rest of the study population?  
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