sdata

A randomly generated dataset containing 1000 rows and 9 columns with no
missing values.

datasets

We implement causal decomposition analysis using methods proposed by Park, Lee, and Qin (2022) and Park, Kang, and Lee (2023), which provide researchers with multiple-mediator imputation, single-mediator imputation, and product-of-coefficients regression approaches to estimate the initial disparity, disparity reduction, and disparity remaining (<doi:10.1177/00491241211067516>; <doi:10.1177/00811750231183711>). We also implement sensitivity analysis for causal decomposition using R-squared values as sensitivity parameters (Park, Kang, Lee, and Ma, 2023 <doi:10.1515/jci-2022-0031>). Finally, we include individualized causal decomposition and sensitivity analyses proposed by Park, Kang, and Lee (2025+) <doi:10.48550/arXiv.2506.19010>.

Suyeon Kang

causal.decomp

Causal Decomposition Analysis

Soojin Park

Karen Xu

sdata function

A data frame containing the following variables. The data are
provided only for explanatory purposes. The mediators are assumed to be
independent of each other.<dl>
<dt>C.num:</dt>
<dd>A quantitative covariate.</dd><dt>C.bin:</dt>
<dd>A binary covariates with a value of 0 or 1.</dd><dt>R:</dt>
<dd>A group indicator with four levels.</dd><dt>X:</dt>
<dd>A quantitative intermediate confounder between a mediator and the outcome.</dd><dt>M.num:</dt>
<dd>A quantitative mediator.</dd><dt>M.bin:</dt>
<dd>A binary mediator with a value of 0 or 1.</dd><dt>M.cat:</dt>
<dd>A categorical mediator with three levels.</dd><dt>Y.num:</dt>
<dd>A quantitative outcome.</dd><dt>Y.bin:</dt>
<dd>A binary outcome with a value of 0 or 1.</dd>
</dl>

Format

Synthetic Data for Illustration — sdata

A data frame containing the following variables. The data are
provided only for explanatory purposes. The mediators are assumed to be
independent of each other.<dl>
<dt>C.num:</dt>
<dd>A quantitative covariate.</dd>

<dt>C.bin:</dt>
<dd>A binary covariates with a value of 0 or 1.</dd>

<dt>R:</dt>
<dd>A group indicator with four levels.</dd>

<dt>X:</dt>
<dd>A quantitative intermediate confounder between a mediator and the outcome.</dd>

<dt>M.num:</dt>
<dd>A quantitative mediator.</dd>

<dt>M.bin:</dt>
<dd>A binary mediator with a value of 0 or 1.</dd>

<dt>M.cat:</dt>
<dd>A categorical mediator with three levels.</dd>

<dt>Y.num:</dt>
<dd>A quantitative outcome.</dd>

<dt>Y.bin:</dt>
<dd>A binary outcome with a value of 0 or 1.</dd>


</dl>

sdata: Synthetic Data for Illustration

Description

Usage

Arguments

Format

Details

References