Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fracture.

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Bibliographic Details
Title: Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fracture.
Authors: Brooks, John M.1,2 (AUTHOR) john-brooks@sc.edu, Chapman, Cole G.3,4 (AUTHOR), Floyd, Sarah B.4,5 (AUTHOR), Chen, Brian K.2,4 (AUTHOR), Thigpen, Charles A.4,6 (AUTHOR), Kissenberth, Michael4,7 (AUTHOR)
Source: BMC Medical Research Methodology. 7/11/2022, Vol. 22 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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ISSN:14712288
DOI:10.1186/s12874-022-01663-0