Causality, Causal Inference, Backdoor, Frontdoor, Instrumental Variable.
caliper = .2) matched <- df[unlist(greedymatch[c(“index.treated”, “index.control”)]),] t.test(matched$y[matched$x == 1],matched$y[matched$x == 0], paired = TRUE) The causal effect is estimated to be b_ps_match = 1.05 which is virtually the same as the previous adjusting methods. 4.4 Inverse