Jungwun Lee
Assistant Professor
Boston University School of Public Health
Biostatistics

PhD, University of Connecticut
MS, Korea University
BS, Korea University



My research areas include latent variable modeling, incomplete data analysis, causal inference, and outlier detection methods. My primary interest focuses on developing advanced methodologies that may conceive complicated data structures, such as multivariate longitudinal data, longitudinal data with mixed (categorical and continuous) variables. The secondary interest is how to avoid unnecessary assumptions on methodologies so that they can be applied to a wide range of real data problems related to public health, social studies, behavioral research, and educational measurements. The third aim of my research interests is to investigate how to overcome ubiquitous challenges in data practice, including missing value problems and high dimensionality.


Robust methods for missing data in electronic health records-based studies
07/01/2024 - 03/31/2025 (Subcontract PI)
President and Fellows of Harvard College dba Harvard T.H. Chan School of Public Health NIH NIDDK
5R01DK128150-04



Title


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Jung Wun Lee, Hayley Dunnack Yackel. Journal of Applied Statistics. Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer. 2024; 1-21.
  2. Guenette JP, Lee J, Haneuse S, Chen JT, Kapoor N, Lacson R, Khorasani R. Patient Photograph Association With Radiologist Recommendations for Additional Imaging. J Am Coll Radiol. 2024 Nov 12. PMID: 39542196; DOI: 10.1016/j.jacr.2024.10.018;
     
  3. Dunnack Yackel H, Xu W, Wun Lee J, Cong X, Salner AL, Duffy VB, Judge MP. HPV Status and Oral Health Symptom Patterning During Treatment and Survivorship in Patients With Head and Neck Cancer: A Longitudinal Analysis. Oncol Nurs Forum. 2024 Oct 17; 51(6):565-575. PMID: 39431692; DOI: 10.1188/24.ONF.565-575;
     
  4. Jung Wun Lee, Ofer Harel. Statistics and Its Interface. A latent class selection model for categorical response variables with nonignorably missing data. 2024; 17(4):635-648.
  5. Jung Wun Lee, Ofer Harel. Journal of Data Science. A Two-Stage Classification for Dealing with Unseen Clusters in the Testing Data. 2024; 1-20.
  6. Bellizzi KM, Park CL, Lee JW, Harel O, Sanft T, Fritzson E, Salafia C, Ligus K, Gnall K, Magin ZE. Physical health and function trajectories in adults with cancer: psychosocial predictors of class membership. J Cancer Surviv. 2024 Jan 30. PMID: 38289507; PMCID: PMC11286833; DOI: 10.1007/s11764-024-01540-3;
     
  7. Dunnack Yackel H, Xu W, Lee JW, Cong X, Salner A, Duffy VB, Judge MP. Symptom Patterning Across the Cancer Care Trajectory for Patients Receiving Chemoradiation for Head and Neck Cancer: A Retrospective Longitudinal Study Using Latent Transition Analysis. Cancer Nurs. 2024 Jul-Aug 01; 47(4):261-270. PMID: 36881642; DOI: 10.1097/NCC.0000000000001227;
     
  8. Lee JW, Harel O. Incomplete clustering analysis via multiple imputation. J Appl Stat. 2023; 50(9):1962-1979. PMID: 37378266; PMCID: PMC10291928; DOI: 10.1080/02664763.2022.2060952;
     
  9. Lee JW, Lee S. A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotype. BioData Min. 2021 Mar 01; 14(1):17. PMID: 33648540; PMCID: PMC7923479; DOI: 10.1186/s13040-021-00248-9;
     
  10. Park M, Lee JW, Park T, Lee S. Gene-Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan-Meier Median Estimate. Biomed Res Int. 2020; 2020:5282345. PMID: 32461998; PMCID: PMC7232685; DOI: 10.1155/2020/5282345;
     
Showing 10 of 11 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 11 publications over 6 distinct years, with a maximum of 6 publications in 2024

YearPublications
20171
20201
20211
20221
20231
20246


2022 American Honors Public Health Association: APHS/Stata Scholar Finalist (In recognition within the Applied Public Health Statistics)
2020 University of Connecticut: Certificate of Excellence in Teaching
In addition to these self-described keywords below, a list of MeSH based concepts is available here.

Latent variable modeling
Longitudinal Studies
Missing data
Categorical data
Contact for Mentoring:

617.358.2222
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