Suyeon Kang
Biographic Data
| ID | 3939031 |
|---|---|
| NAME | Suyeon Kang |
| GIVEN NAMES | Suyeon |
| FAMILY NAME | Kang |
| SIGNATURE | KANG S |
| AFFILIATIONS | University of Central Florida |
| ORCID | 0000-0001-6506-3035 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Causal decomposition analysis in disparities research
Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition With Individualized Interventions
Causal decomposition analysis aims to assess the effect of modifying risk factors on reducing social disparities in outcomes. Recently, this analysis has incorporated individual characteristics when modifying risk factors by utilizing optimal treatment regimes (OTRs). Since the newly defined individualized effects rely on the no omitted confounding assumption, developing sensitivity analyses to account for potential omitted confounding is essenti…
Choosing an Optimal Method for Causal Decomposition Analysis with Continuous Outcomes
Causal decomposition analysis is among the rapidly growing number of tools for identifying factors (“mediators”) that contribute to disparities in outcomes between social groups. An example of such mediators is college completion, which explains later health disparities between Black women and White men. The goal is to quantify how much a disparity would be reduced (or remain) if we hypothetically intervened to set the mediator distribution equal…
No prominent works on this page.
Choosing an Optimal Method for Causal Decomposition Analysis with Continuous Outcomes
Causal decomposition analysis is among the rapidly growing number of tools for identifying factors (“mediators”) that contribute to disparities in outcomes between social groups. An example of such mediators is college completion, which explains later health disparities between Black women and White men. The goal is to quantify how much a disparity would be reduced (or remain) if we hypothetically intervened to set the mediator distribution equal…
Causal decomposition analysis in disparities research
Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition With Individualized Interventions
Causal decomposition analysis aims to assess the effect of modifying risk factors on reducing social disparities in outcomes. Recently, this analysis has incorporated individual characteristics when modifying risk factors by utilizing optimal treatment regimes (OTRs). Since the newly defined individualized effects rely on the no omitted confounding assumption, developing sensitivity analyses to account for potential omitted confounding is essenti…
Advanced Causal Inference Techniques (2 works) · Econometrics (2 works) · Economics (2 works) · Mathematics (2 works) · Statistical Methods and Inference (2 works) · Benchmark (surveying) (1 work) · Benchmarking (1 work) · Bounding overwatch (1 work) · Career Development and Diversity (1 work) · Causal analysis (1 work)