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Harmonization of self-reported and performance-based measures of vision using inverse probability weighting: an example using vision and depression in NHATS, CLSA, and LASI.

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Bibliographic Details
Title: Harmonization of self-reported and performance-based measures of vision using inverse probability weighting: an example using vision and depression in NHATS, CLSA, and LASI.
Authors: Li M; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.; Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States., Thibault DP; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States., De Lott LB; Departments of Ophthalmology and Neurology, Michigan Medicine, Ann Arbor, Michigan, United States., Gravel CA; School of Epidemiology and Public Health, Department of Mathematics and Statistics, and Data Literacy Research Institute, University of Ottawa, Ottawa, Canada., Freeman EE; School of Epidemiology and Public Health, Department of Mathematics and Statistics, and Data Literacy Research Institute, University of Ottawa, Ottawa, Canada., Hamedani AG; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.; Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Source: The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2026 Mar 10; Vol. 81 (4).
Publication Type: Journal Article
Journal Info: Publisher: published on behalf of the Gerontological Society of America by Oxford University Press Country of Publication: United States NLM ID: 9502837 Publication Model: Print Cited Medium: Internet ISSN: 1758-535X (Electronic) Linking ISSN: 10795006 NLM ISO Abbreviation: J Gerontol A Biol Sci Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1758-535X
DOI:10.1093/gerona/glag019