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Application of modified Poisson regression for risk estimation of major neuropathology outcomes: National Alzheimer's coordinating center.

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Titel: Application of modified Poisson regression for risk estimation of major neuropathology outcomes: National Alzheimer's coordinating center.
Autoren: Hayes, Cellas A1 (AUTHOR) cahayes3@stanford.edu, Odden, Michelle C1 (AUTHOR), Thorpe Jr., Roland J2,3 (AUTHOR)
Quelle: Journal of Alzheimer's Disease. Nov2025, Vol. 108 Issue 1, p53-59. 7p.
Schlagwörter: *POISSON regression, *RISK assessment, *NEURODEGENERATION, *STATISTICAL models, *NEUROLOGICAL disorders, *APOLIPOPROTEIN E, *ALZHEIMER'S disease, *ODDS ratio
Abstract: Odds ratios (OR) can overestimate risk when the prevalence of outcomes is more than 10%. We compared logistic and modified Poisson models in 5843 National Alzheimer's Coordinating Center decedents to examine associations of apolipoprotein (APOE) ε4, age at death, sex, and education with 7 neuropathologies. OR for neuritic plaques (6.28) and Braak stage (4.90) attenuated to prevalence rate ratios of 1.38 and 1.08; similar attenuation occurred for Lewy body disease, arteriolosclerosis, cerebral amyloid angiopathy, and infarcts. Modified Poisson regression is critical for valid risk estimation, reliable interpretations, and accurate risk stratification in non-rare outcome studies. [ABSTRACT FROM AUTHOR]
Datenbank: Academic Search Index
Beschreibung
Abstract:Odds ratios (OR) can overestimate risk when the prevalence of outcomes is more than 10%. We compared logistic and modified Poisson models in 5843 National Alzheimer's Coordinating Center decedents to examine associations of apolipoprotein (APOE) ε4, age at death, sex, and education with 7 neuropathologies. OR for neuritic plaques (6.28) and Braak stage (4.90) attenuated to prevalence rate ratios of 1.38 and 1.08; similar attenuation occurred for Lewy body disease, arteriolosclerosis, cerebral amyloid angiopathy, and infarcts. Modified Poisson regression is critical for valid risk estimation, reliable interpretations, and accurate risk stratification in non-rare outcome studies. [ABSTRACT FROM AUTHOR]
ISSN:13872877
DOI:10.1177/13872877251375099