decom_results {LongDecompHE} | R Documentation |
Decomposition Results Comparing Two Populations
Description
Decomposition results obtained from the Decomp_sullivan()
function. This object includes age-cause-specific mortality, disability, and total effects to differences in cohort health expectancy (HE).
Usage
data(decom_results)
Format
A list with the following components:
mortality_effect
A matrix with rows representing total, background, and causes (e.g., Z1, Z2, Z3), and columns representing age groups. Each cell indicates the contribution of a given cause to the mortality effect on health expectancy differences.
disability_effect
A matrix structured as above, representing contributions to the disability effect.
total_effect
A matrix summing the mortality and disability effects for each cause at each age.
population1_HE
Numeric value of cohort health expectancy (HE) in population 1.
population2_HE
Numeric value of cohort health expectancy (HE) in population 2.
population1_LE
Numeric value of cohort life expectancy (LE) in population 1.
population2_LE
Numeric value of cohort life expectancy (LE) in population 2.
var_list
A character vector of cause names (e.g.,
c("Z1", "Z2", "Z3")
).time_list
An integer vector indicating age groups.
copula
A string indicating the method used for decomposition, e.g.,
"Decomposition_sullivan"
.
Source
Generated for the manuscript:
Tao Sun, Huiping Zheng, and Xiaojun Wang (2025+).
Decomposing Differences in Cohort Health Expectancy by Cause and Age with Longitudinal Data.
Examples
data(decom_results)
str(decom_results)