Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims-the ARIC Study.

Saved in:
Bibliographic Details
Title: Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims-the ARIC Study.
Authors: Wang T; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.; Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Houston, TX 77204, United States., Pate V; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States., Kim DH; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA 0213, United States.; Division of Gerontology, Beth Israel Deaconess Medical Center, Boston, MA 02445, United States.; Harvard Medical School, MA 02115, United States., Power MC; Department of Epidemiology, George Washington University, Washington DC 20052, United States., Garden G; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States., Palta P; Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States., Knopman D; Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, United States., Jonsson-Funk M; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States., Stürmer T; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States., Kucharska-Newton AM; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Source: American journal of epidemiology [Am J Epidemiol] 2025 Dec 02; Vol. 194 (12), pp. 3537-3548.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-6256
DOI:10.1093/aje/kwaf166