Title |
The meaning of confounding adjustment in the presence of multiple versions of treatment: an application to organ transplantation
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Published in |
European Journal of Epidemiology, January 2019
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DOI | 10.1007/s10654-019-00484-8 |
Pubmed ID | |
Authors |
Kerollos Nashat Wanis, Arin L. Madenci, Mary Katherine Dokus, Mark S. Orloff, Mark A. Levstik, Roberto Hernandez-Alejandro, Miguel A. Hernán |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 15% |
Researcher | 4 | 12% |
Student > Bachelor | 4 | 12% |
Other | 3 | 9% |
Student > Postgraduate | 3 | 9% |
Other | 9 | 26% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 32% |
Mathematics | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Engineering | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 3 | 9% |
Unknown | 13 | 38% |