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A predictive algorithm to identify ever smoking in medical claims-based epidemiologic studies.

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Bibliographic Details
Title: A predictive algorithm to identify ever smoking in medical claims-based epidemiologic studies.
Authors: Faust I; Washington University School of Medicine in St. Louis, Department of Neurology, 660 S. Euclid Avenue, St. Louis, MO; Barrow Neurological Institute, Department of Neurology, 240 W. Thomas Road, Phoenix, AZ. Electronic address: Irene.Faust@Barrowneuro.org., Warden M; Washington University School of Medicine in St. Louis, Department of Neurology, 660 S. Euclid Avenue, St. Louis, MO. Electronic address: mwarden@wustl.edu., Camacho-Soto A; Washington University School of Medicine in St. Louis, Department of Neurology, 660 S. Euclid Avenue, St. Louis, MO; Washington University School of Medicine, Department of Orthopedic Surgery, Neurological Rehabilitation Division, 660 S. Euclid, St. Louis, MO. Electronic address: acamacho-soto@wustl.edu., Racette BA; Washington University School of Medicine in St. Louis, Department of Neurology, 660 S. Euclid Avenue, St. Louis, MO; Barrow Neurological Institute, Department of Neurology, 240 W. Thomas Road, Phoenix, AZ; University of the Witwatersrand, School of Public Health, Faculty of Health Sciences, 27 St. Andrews Road, Parktown, Johannesburg, South Africa. Electronic address: Brad.Racette@Barrowneuro.org., Searles Nielsen S; Washington University School of Medicine in St. Louis, Department of Neurology, 660 S. Euclid Avenue, St. Louis, MO. Electronic address: snielsen@wustl.edu.
Source: Annals of epidemiology [Ann Epidemiol] 2023 Sep; Vol. 85, pp. 59-67.e6. Date of Electronic Publication: 2023 May 02.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 9100013 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2585 (Electronic) Linking ISSN: 10472797 NLM ISO Abbreviation: Ann Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2585
DOI:10.1016/j.annepidem.2023.04.019