Decomposing Differences in Cohort Health Expectancy by Cause and Age With Longitudinal Data
Datos Bibliográficos
| ID | 19230746 |
|---|---|
| Autores | Tao Sun (0000-0001-5509-0988, Renmin University of China), Huiping Zheng (0009-0006-1463-1841, Renmin University of China), Xiaojun Wang (0009-0006-0120-7275, Renmin University of China) |
| Año | 2026 |
| Volumen | 63 |
| Número | 3 |
| Páginas | 925-953 |
| Fecha de publicación | 2026-06-15 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Demography (JOURNAL) |
| Identificadores de la revista | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Editorial | Duke University Press (PUBLISHER • US) |
| DOI | 10.1215/00703370-12654071 |
| PMID | 42294953 |
| OpenAlex | W7164808230 |
| Idioma | EN |
| Referencias citadas | 77 |
Highlights We propose a new method to decompose cohort health expectancy by age and cause. We develop a new attribution method for longitudinal data. This method handles interval censoring, semicompeting risks, and time-dependent covariates. We derive explicit formulas for stepwise decomposition of cohort health expectancy. We provide an R package and Shiny app to support use of the proposed method
Cohort · Cohort study · Expectancy theory · Health data · Life expectancy · Longitudinal data · Longitudinal study · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Statistical Methods and Inference
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| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |