Chanhwa Lee

ORCID: 0000-0003-4828-9416
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About
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Research Areas
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Advanced Causal Inference Techniques
  • Survey Sampling and Estimation Techniques
  • Vaccine Coverage and Hesitancy
  • SARS-CoV-2 and COVID-19 Research
  • Genetic Mapping and Diversity in Plants and Animals
  • Microfluidic and Capillary Electrophoresis Applications
  • Statistical Distribution Estimation and Applications
  • Digital Imaging for Blood Diseases
  • Viral gastroenteritis research and epidemiology
  • COVID-19 epidemiological studies
  • Hydrology and Drought Analysis
  • Child Nutrition and Water Access
  • Respiratory viral infections research
  • Game Theory and Voting Systems
  • Bioinformatics and Genomic Networks
  • Bayesian Methods and Mixture Models
  • Drug Solubulity and Delivery Systems
  • Malaria Research and Control
  • Poverty, Education, and Child Welfare
  • Nanoparticle-Based Drug Delivery
  • Genetic Associations and Epidemiology
  • Economic Policies and Impacts

University of North Carolina at Chapel Hill
2022-2024

University of Hong Kong
2002

Assessing population‐level effects of vaccines and other infectious disease prevention measures is important to the field public health. In studies, one person's treatment may affect another individual's outcome, that is, there be interference between units. For example, use bed nets prevent malaria by individual have an indirect effect on individuals living in close proximity. some settings, form groups or clusters where only occurs within groups, partial interference. Inverse probability...

10.1002/sim.10102 article EN Statistics in Medicine 2024-05-10

Interference occurs when a unit's treatment (or exposure) affects another outcome. In some settings, units may be grouped into clusters such that it is reasonable to assume interference, if present, only between individuals in the same cluster, i.e., there clustered interference. Various causal estimands have been proposed quantify effects under interference from observational data, but these either entail policies lacking real-world relevance or are based on parametric propensity score...

10.1080/01621459.2024.2340789 article EN Journal of the American Statistical Association 2024-04-09

In most Proteome-Wide Association Studies (PWAS), variants near the protein-coding gene (±1 Mb), also known as cis single nucleotide polymorphisms (SNPs), are used to predict protein levels, which then tested for association with phenotypes. However, proteins can be regulated through outside of region. An intermediate GWAS step identify quantitative trait loci (pQTL) allows inclusion trans SNPs region in protein-level prediction models. Here, we assess 540 1002 individuals from Women's...

10.1002/gepi.22578 article EN Genetic Epidemiology 2024-06-28

The method of ranked set sampling is widely applicable in environmental research mainly the estimation mean and distribution function variable interest, Y. Ranking Ys by visual judgment may be imperfect sometimes. When are expensive to measure, it would more convenient determine ‘rankings’ a concomitant variable, X, which relatively easy cheap make measurements. information carried X not utilized all methods available literature except determining rankings unless extra distributional or...

10.1002/env.553 article EN Environmetrics 2002-01-01

Controlled drug delivery systems can provide sustained release profiles, favorable pharmacokinetics, and improved patient adherence. Here, a reservoir-style implant comprising biodegradable polymer, poly(ε-caprolactone) (PCL), was developed to deliver drugs subcutaneously. This work addresses key challenge when designing these implantable systems, namely the accurate prediction of profiles using different formulations or form factors implant. The ability model predict behavior from an based...

10.3390/ph15101226 article EN cc-by Pharmaceuticals 2022-10-03

Inferring treatment effects on a survival time outcome based data from an observational study is challenging due to the presence of censoring and possible confounding. An additional challenge occurs when unit's affects other units, i.e., there interference. In some settings, units may be grouped into clusters such that it reasonable assume interference only within clusters, clustered this paper, methods are developed which can accommodate confounding, censored outcomes, The approach avoids...

10.48550/arxiv.2409.13190 preprint EN arXiv (Cornell University) 2024-09-19

10.17615/mqjr-yw35 article EN Carolina Digital Repository (University of North Carolina at Chapel Hill) 2024-05-20

Abstract Meaningful metrics of antiviral activity are essential for determining the efficacy therapeutics in human clinical trials. Molnupiravir (MOV) is a broadly acting nucleoside analog prodrug that acts as competitive alternative substrate SARS-CoV-2 RNA-dependent RNA polymerase (RdRp). We developed an assay, Culture-PCR, to better understand impact MOV therapy on infectious SARS-CoV-2. Culture-PCR revealed eliminated virus within 48 hours nasopharyngeal compartment, upper airway...

10.1101/2023.11.21.23298766 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-11-27

Assessing population-level effects of vaccines and other infectious disease prevention measures is important to the field public health. In studies, one person's treatment may affect another individual's outcome, i.e., there be interference between units. For example, use bed nets prevent malaria by individual have an indirect effect on individuals living in close proximity. some settings, form groups or clusters where only occurs within groups, partial interference. Inverse probability...

10.48550/arxiv.2102.01155 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Interference occurs when a unit's treatment (or exposure) affects another outcome. In some settings, units may be grouped into clusters such that it is reasonable to assume interference, if present, only between individuals in the same cluster, i.e., there clustered interference. Various causal estimands have been proposed quantify effects under interference from observational data, but these either entail policies lacking real-world relevance or are based on parametric propensity score...

10.48550/arxiv.2212.10959 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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