attributionA {LongDecompHE} | R Documentation |
Attribution Results for Population A
Description
Attribution results for Population A, generated by applying the Attribution_sullivan()
function under a copula-based additive hazards model. This object contains age- and cause-specific contributions to disability prevalence and death probability, enabling decomposition of cohort health expectancy.
Usage
data(attributionA)
Format
A list with the following components:
Relative_Contributions_1
A matrix of age-cause-specific disability prevalence relative contributions. Rows represent causes (with the first row as total), columns represent age.
Relative_Contributions_2
A matrix of age-cause-specific death probability relative contributions. Format matches
Relative_Contributions_1
.Absolute_Contributions_1
A matrix of age-cause-specific disability prevalence contributions. Rows represent causes (with the first row as total), columns represent age.
Absolute_Contributions_2
A matrix of age-cause-specific death probability contributions. Format matches
Absolute_Contributions_1
.var_list
A character vector of cause names used in the attribution method.
age_seq
A vector of age range.
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(attributionA)
str(attributionA)