attributionA

Attribution results for Population A, generated by applying the <code>Attribution_sullivan()</code> 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.

datasets

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>.

Huiping Zheng

LongDecompHE

Longitudinal Decomposition of Health Expectancy by Age and Cause

Tao Sun

Xiaojun Wang

attributionA function

A list with the following components:<dl>
 <dt><code>Relative_Contributions_1</code></dt>
<dd>A matrix of age-cause-specific disability prevalence relative contributions. Rows represent causes (with the first row as total), columns represent age.</dd> <dt><code>Relative_Contributions_2</code></dt>
<dd>A matrix of age-cause-specific death probability relative contributions. Format matches <code>Relative_Contributions_1</code>.</dd> <dt><code>Absolute_Contributions_1</code></dt>
<dd>A matrix of age-cause-specific disability prevalence contributions. Rows represent causes (with the first row as total), columns represent age.</dd> <dt><code>Absolute_Contributions_2</code></dt>
<dd>A matrix of age-cause-specific death probability contributions. Format matches <code>Absolute_Contributions_1</code>.</dd> <dt><code>var_list</code></dt>
<dd>A character vector of cause names used in the attribution method.</dd> <dt><code>age_seq</code></dt>
<dd>A vector of age range.</dd> 
</dl>

Format

Attribution Results for Population A — attributionA

A list with the following components:<dl>
 <dt><code>Relative_Contributions_1</code></dt>
<dd>A matrix of age-cause-specific disability prevalence relative contributions. Rows represent causes (with the first row as total), columns represent age.</dd>

 <dt><code>Relative_Contributions_2</code></dt>
<dd>A matrix of age-cause-specific death probability relative contributions. Format matches <code>Relative_Contributions_1</code>.</dd>

 <dt><code>Absolute_Contributions_1</code></dt>
<dd>A matrix of age-cause-specific disability prevalence contributions. Rows represent causes (with the first row as total), columns represent age.</dd>

 <dt><code>Absolute_Contributions_2</code></dt>
<dd>A matrix of age-cause-specific death probability contributions. Format matches <code>Absolute_Contributions_1</code>.</dd>

 <dt><code>var_list</code></dt>
<dd>A character vector of cause names used in the attribution method.</dd>

 <dt><code>age_seq</code></dt>
<dd>A vector of age range.</dd>

 
</dl>

attributionA: Attribution Results for Population A

Description

Usage

Arguments

Format

Examples