Adjusting for indirectly measured confounding using large-scale propensity score.

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Bibliographic Details
Title: Adjusting for indirectly measured confounding using large-scale propensity score.
Authors: Zhang L; Department of Biomedical Informatics, Columbia University Irving Medical Center, 622 W. 168th Street, PH20, New York, 10032, NY, USA., Wang Y; Department of Statistics, University of Michigan, 1085 S University Ave, Ann Arbor, 48109, MI, USA., Schuemie MJ; Janssen Research and Development, 1125 Trenton-Harbourton Road, Titusville, 08560, NJ, USA., Blei DM; Department of Statistics, Columbia University, 1255 Amsterdam Ave, New York, 10027, NY, USA; Department of Computer Science, Columbia University, 500 West 120 Street, Room 450 MC0401, New York, 10027, NY, USA., Hripcsak G; Department of Biomedical Informatics, Columbia University Irving Medical Center, 622 W. 168th Street, PH20, New York, 10032, NY, USA; Medical Informatics Services, New York-Presbyterian Hospital, 622 W. 168th Street, PH20, New York, 10032, NY, USA. Electronic address: hripcsak@columbia.edu.
Source: Journal of biomedical informatics [J Biomed Inform] 2022 Oct; Vol. 134, pp. 104204. Date of Electronic Publication: 2022 Sep 13.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-0480
DOI:10.1016/j.jbi.2022.104204