Cargando…
Use of partitioned GMM marginal regression model with time-dependent covariates: analysis of Chinese Longitudinal Healthy Longevity Study
BACKGROUND: Elderly population’s health is a major concern for most industrial nations. National health surveys provide a measure of the state of elderly health. One such survey is the Chinese Longitudinal Healthy Longevity Survey. It collects data on risk factors and outcomes on the elderly. We exa...
Autores principales: | Vazquez-Arreola, Elsa, Xue, Dan, Wilson, Jeffrey R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245823/ https://www.ncbi.nlm.nih.gov/pubmed/32448318 http://dx.doi.org/10.1186/s12874-020-01003-0 |
Ejemplares similares
-
Marginal models in analysis of correlated binary data with time dependent covariates
por: Wilson, Jeffrey R, et al.
Publicado: (2020) -
Analysis of correlated data with feedback for time-dependent covariates in psychiatry research
por: Vazquez Arreola, Elsa, et al.
Publicado: (2020) -
Bayesian multiple membership multiple classification logistic regression model on student performance with random effects in university instructors and majors
por: Arreola, Elsa Vazquez, et al.
Publicado: (2020) -
Age- and Gender-Specific Prevalence of Frailty and Its Outcomes in the Longevous Population: The Chinese Longitudinal Healthy Longevity Study
por: Wang, Huai-yu, et al.
Publicado: (2021) -
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution
por: Freifeld, Oren, et al.
Publicado: (2009)