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Accuracy of race, ethnicity, and language preference in an electronic health record.
Klinger EV, Carlini SV, Gonzalez I, Hubert SS, Linder JA, Rigotti NA, Kontos EZ, Park ER, Marinacci LX, Haas JS. Klinger EV, et al. Among authors: haas js. J Gen Intern Med. 2015 Jun;30(6):719-23. doi: 10.1007/s11606-014-3102-8. Epub 2014 Dec 20. J Gen Intern Med. 2015. PMID: 25527336 Free PMC article. Clinical Trial.
Assumptions made when preparing drug exposure data for analysis have an impact on results: An unreported step in pharmacoepidemiology studies.
Pye SR, Sheppard T, Joseph RM, Lunt M, Girard N, Haas JS, Bates DW, Buckeridge DL, van Staa TP, Tamblyn R, Dixon WG. Pye SR, et al. Among authors: haas js. Pharmacoepidemiol Drug Saf. 2018 Jul;27(7):781-788. doi: 10.1002/pds.4440. Epub 2018 Apr 17. Pharmacoepidemiol Drug Saf. 2018. PMID: 29667263 Free PMC article.
Pharmacosurveillance without borders: electronic health records in different countries can be used to address important methodological issues in estimating the risk of adverse events.
Tamblyn R, Girard N, Dixon WG, Haas J, Bates DW, Sheppard T, Eguale T, Buckeridge D, Abrahamowicz M, Forster A. Tamblyn R, et al. J Clin Epidemiol. 2016 Sep;77:101-111. doi: 10.1016/j.jclinepi.2016.03.033. Epub 2016 May 20. J Clin Epidemiol. 2016. PMID: 27212138 Free article.
309 results