{"id":63,"date":"2016-09-04T20:17:27","date_gmt":"2016-09-04T20:17:27","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=63"},"modified":"2016-09-04T20:33:20","modified_gmt":"2016-09-04T20:33:20","slug":"commentary-of-mediation-analysis-without-sequential-ignorability-using-baseline-covariates-interacted-with-random-assignment-as-instrumental-variables-by-dylan-small","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/commentary-of-mediation-analysis-without-sequential-ignorability-using-baseline-covariates-interacted-with-random-assignment-as-instrumental-variables-by-dylan-small\/","title":{"rendered":"Commentary of “Mediation analysis without sequential ignorability: using baseline covariates interacted with random assignment as instrumental variables” by Dylan Small"},"content":{"rendered":"
I applaud Dr. Small for advancing causal mediation analysis and thank the editors for the opportunity\u00a0to comment on this valuable article. Small\u2019s project (Small, 2012) was to relax and test the\u00a0assumptions on which a previously proposed model relies; in the second half of this discussion I will\u00a0assess those assumptions and others on which the model hinges. But first I will review the various\u00a0schools of mediation analysis and situate the estimand considered by Small within the somewhat\u00a0esoteric domain of mediation estimands.<\/p>\n