Longitudinal Decomposition of Health Expectancy by Age and Cause
Longitudinal Attribution of Disability and Death Based on Sullivan Met...
Copula regression models with semiparametric additive hazards margins ...
Two-dimensional decomposition of the difference between the two cohort...
Plot Attribution or Decomposition Results Using Sullivan Method
Printing outputs of a LongDecompHE object
Summarizing outputs of a LongDecompHE object
Provides tools to decompose differences in cohort health expectancy (HE) by age and cause using longitudinal data. The package implements a novel longitudinal attribution method based on a semiparametric additive hazards model with time-dependent covariates, specifically designed to address interval censoring and semi-competing risks via a copula framework. The resulting age-cause-specific contributions to disability prevalence and death probability can be used to quantify and decompose differences in cohort HE between groups. The package supports stepwise replacement decomposition algorithms and is applicable to cohort-based health disparity research across diverse populations. Related methods include Sun et al. (2023) <doi:10.1177/09622802221133552>.