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The meaning of confounding adjustment in the presence of multiple versions of treatment: an application to organ transplantation
Author(s) -
Kerollos Nashat Wanis,
Arin L. Madenci,
Mary Katherine Dokus,
Mark S. Orloff,
Mark Levstik,
Roberto HernandezAlejandro,
Miguel A. Hernán
Publication year - 2019
Publication title -
european journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.825
H-Index - 111
eISSN - 1573-7284
pISSN - 0393-2990
DOI - 10.1007/s10654-019-00484-8
Subject(s) - confounding , medicine , causal inference , observational study , selection (genetic algorithm) , selection bias , transplantation , inference , intensive care medicine , randomized controlled trial , organ transplantation , meaning (existential) , surgery , epistemology , psychotherapist , pathology , psychology , artificial intelligence , computer science , philosophy
Causal inference for treatments with many versions requires a careful specification of the versions of treatment. Specifically, the existence of multiple relevant versions of treatment has implications for the selection of confounders. To illustrate this, we estimate the effect of organ transplantation using grafts from donors who died due to anoxic drug overdose, on recipient graft survival in the US. We describe how explicitly outlining the target trial (i.e. the hypothetical randomized trial which would answer the causal question of interest) to be emulated by an observational study analysis helps conceptualize treatment versions, guides selection of appropriate adjustment variables, and helps clarify the settings in which causal effects of compound treatments will be of value to decision-makers.

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