Hi! I have a question about weighing the covariants that matchit uses for matching. I have some covariants that are higher priority to match on, and others that I'd like to consider in the match given a strong match on the first set. Is there a way to include a weight vector on the set of covariates? Example: Covariates = [age, comorbidity, gender, back problem type 1, back problem type 2] Weights = [1, 1, 1, 0.25, 0.25] The resulting matches will be biased towards minimizing the distance between age, comorbidity, and gender to a greater extent than minimizing the distance between the back problems. Thank you! - --- MatchIt mailing list served by HUIT List Address: matchit(a)lists.gking.harvard.edu Subscribe/Unsubscribe: http://lists.gking.harvard.edu/mailman/listinfo/ei MatchIt Software and Documentation: http://gking.harvard.edu/matchit/ Browse/Search List Archive: http://lists.gking.harvard.edu/mailman/private/matchit/ Matchit mailing list Matchit(a)lists.gking.harvard.edu To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/matchit