print.LongDecompHE

Printing 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>.

Huiping Zheng

LongDecompHE

Longitudinal Decomposition of Health Expectancy by Age and Cause

Tao Sun

Xiaojun Wang

print.LongDecompHE function

<dl><dt>x</dt>
<dd>a LongDecompHE object</dd>
<dt>...</dt>
<dd>further arguments</dd></dl>

Arguments

Printing outputs of a LongDecompHE object — print.LongDecompHE

<dl>

<dt>x</dt>
<dd>a LongDecompHE object</dd>


<dt>...</dt>
<dd>further arguments</dd>

</dl>

print.LongDecompHE: Printing outputs of a LongDecompHE object

Description

Usage

Value

Arguments