Research

Research Interests

Bayesian modeling, Nonparametric Bayes, Diagnostic accuracy, High-dimensional data analysis, Latent class model, Bayesian deep learning, Biostatistics, Longitudinal data analysis, Epidemiological studies, Clinical trials

Projects

• 질병관리본부 연구과제 (2020.01 - 2020.06) 

     전자담배 사용 관련 중증폐질환 조사감시 운영체계 수립

• 농촌진흥청 농업과학기술 연구개발사업 (2020.01 - 2023.12)

     The applications of mass screening systems for key end-user traits and establishments to develop high quality domestic western-style lettuce cultivars 

     (양상추 유용형질 보유 자원 발굴 및 대량 평가기술 개발)

• 에너지기술평가원 전력정보화 및 정책지원사업 (2019.12 - 2022.12)

     전기소비자 특성을 반영한 주택용 전력사용패턴 빅데이터 분석·관리체계 구축

• 한국연구재단 신진연구 신규과제 (2019.03 - 2023.02)

      Nonparametric Bayesian latent variable models for multiple mixed outcomes

      (다중혼합형태의 변수들에 대한 비모수 베이지안 잠재변수 모형)

• 한국연구재단 이공학개인기초연구지원사업 (2016.11 - 2019.10)

     A Bayesian semiparametric approach to correlated ROC curves with constraints 

     (확률적 제약조건이 포함된 상관관계가 있는 ROC곡선에 대한 준모수 베이지안 모형 분석)

• UBCare Project (2016.06 - 2017.12)

     처방전을 통한 OTC/ETC 의약품 매출 패턴 및 특성 조사

Selected Publications

 Published or In press in peer-reviewed journals

    * corresponding author     ^ mentored student

1. Lee, J.^ and Hwang, B.S.* (2024) Energy demand pattern analysis in South Korea using hidden Markov model-based classification. Asian Economic Journal. In press.

2. Lee, H.-J., Hwang, B.S., Im, S.H.^, Mun, S.-K. and Chang, M. (2024) Clinical effects of non-pharmaceutical interventions for COVID-19 on other nationally notifiable infectious diseases in South Korea. The Korean Journal of Internal Medicine. In press.

3. Mun, S.-K., Chang, M., Hwang, B.S., Hong, S.J.^, Lee, S.Y., Park, S.J. and Lee, H.-J. (2024) Social distancing during the COVID-19 pandamic: Potential impact and correlation with asthma. Heart & Lung, 68, 18-22.

4. Ha, J., Song, M.C., Park, S., Kang, H., Kyung, T., Kim, N., Kim, D.K., Bae, S., Lee, K.J., Lee, E., Hwang, B.S., Youn, J., Seok, J.M. and Park, K. (2024) Deciphering deaths associated with severe serious adverse events following SARS-CoV-2 vaccination: A retrospective cohort study. Vaccine: X, 16, 100446.

5. Lee, J.^ and Hwang, B.S.* (2024) Ordered probit Bayesian additive regression trees for ordinal data. Stat, 13(1), e643.

6. Kwon, H.^ and Hwang, B.S.* (2023) Do spatial characteristics affect housing prices in Korea?: Evidence from Bayesian spatial models. Hitotsubashi Journal of Economics. 64, 109-124.

7. Lee, S.H.^ and Hwang, B.S.* (2023) Bayesian latent class analysis for symptom patterns of mild Alzheimer's disease. Journal of the Korean Data & Information Science Society. 34(3), 431-441.

8. Ha, J., Park, S., Kang, H., Kyung, T., Kim, N., Kim, D.K., Kim, H., Bae, K., Song, M.C., Lee, K.J., Lee, E., Hwang, B.S., Youn, J., Seok, J.M. and Park, K. (2023) Real-world data on the incidence and risk of Guillain-Barre syndrome following SARS-CoV-2 vaccination: A prospective surveillance study. Scientific Reports. 13, 3773.

9. Im, S.H.^ and Hwang, B.S.* (2023) A Bayesian approach for dynamic Nelson-Siegel yield curve modeling on SOFR term rate data. The Korean Journal of Applied Statistics. The Korean Journal of Applied Statistics. 36(4), 349-360. 

10. Kim, J.H., Na, Y.S., Lee, S.-I., Moon, Y.Y.^, Hwang, B.S., Baek, A.-R., Kim, W.-Y., Lee, B.Y., Seong, G. M. and Baek, M.S. (2023) Corticosteroid outcome may be dependent of duration of use in severe COVID-19. The Korean Journal of Internal Medicine. 38, 382-392. 

11. Son, D.^ and Hwang, B.S.* (2023) Variational Bayesian multinomial probit model with Gaussian process classification on mice protein expression level data. The Korean Journal of Applied Statistics. 36(2), 115-127. 

12. Kang, T.H.^ and Hwang, B.S.* (2023) Hidden Markov model with stochastic volatility for estimating bitcoin price volatility. The Korean Journal of Applied Statistics. 36(1), 85-100.  

13. Bae, S., Rhee, E.H.^, Hwang, B.S., Son, Y.D., Bae, J.H. and Han, D.H. (2022) Correlations between psychological status and perception of facial expression. Psychiatry Investigation. 19(6), 435-442.

14. Choi, J.H.^ and Hwang, B.S.* (2022) Bayesian analysis of a finite mixture of bivariate Poisson regression models: An application to Australia health care data. Journal of the Korean Data & Information Science Society. 33(3), 491-503.

15. Seo, G.T.^ and Hwang, B.S.* (2022) A Bayesian zero-inflated negative binomial regression model based on Polya-Gamma latent variables with an application to pharmaceutical data. The Korean Journal of Applied Statistics. 35(2), 311-325.

16. Hwang, B.S.* (2022) A Bayesian joint model for continuous and zero-inflated count data in developmental toxicity studies. Communications for Statistical Applications and Methods. 29(2), 239-250. 

17. Rhee, E.H.^ and Hwang, B.S.* (2022) Bayesian logit models with auxiliary mixture sampling for analyzing diabetes diagnosis data. The Korean Journal of Applied Statistics. 35(1), 129-144.

18. Cho, Y.^ and Hwang, B.S.* (2022) Generalized zero-inflated Poisson regression mixture model for fitting health-related data. Journal of the Korean Data & Information Science Society. 33(1), 139-152.

19. Park, S. Y., Park, S., Hwang, B.S., Lee, E., Kim, T.H. and Won, S. (2021) Appropriate number of observations for determining hand hygiene compliance among healthcare workers. Antimicrobial Resistance & Infection Control. 10:167.

20. Kang, H.S., Kim, J.Y., Park, H.J., Jung, J.W., Choi, H.S., Park, J.S., Park, J.H., Lee, S.H., Chun, E.M., Cho, Y.^, Rhee, E.^, Hwang, B.S.*, and on behalf of the Korean Smoking Cessation Study Group. (2021) E-cigarette-associated severe pneumonia in Korea using data linkage between the Korean National Health and Nutrition Examination Survey (KNHANES, 2013-2019) and the National Health Insurance Service (NHIS) Claims Database. Journal of Korean Medical Science. 36(48):e331.

21. Yang, B.R., Lee, E.^, Hwang, B.S., Lee, S.H., Kang, Y-J. and Jung, S-Y. (2021) Risk of fracture in antidepressant users with concurrent use of benzodiazepines: a self-controlled case-series analysis. Bone. 153, 116109.

22. Kang, H.^ and Hwang, B.S.* (2021) A hidden Markov model for predicting global stock market index. The Korean Journal of Applied Statistics. 34(3), 461-475.

23. Park, H.^ and Hwang, B.S.* (2020) The performance of Bayesian network classifiers for predicting discrete data. The Korean Journal of Applied Statistics. 33(3), 309-320.

24. Lee, E.^ and Hwang, B.S.* (2020) A Bayesian Poisson model for analyzing adverse drug reaction in self-controlled case series studies. The Korean Journal of Applied Statistics. 33(2), 203-213.

25. Kim, Y.-h. and Hwang, B.S.* (2020) Joint analysis of binary and continuous data using skewed logit model in developmental toxicity studies. The Korean Journal of Applied Statistics. 33(2), 123-136.

26. Rhyeu, S.K.^ and Hwang, B.S.* (2020) Bayesian hierarchical clustering for analyzing business data. Journal of the Korean Data & Information Science Society. 31(1), 157-169.

27. Chen, Z. and Hwang, B.S.* (2019) A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints. Biometrics, 75, 539-550.

28. Hwang, B.S., Chen, Z., Buck Louis, G.M. and Albert, P.S. (2019) A Bayesian multi-dimensional couple-based latent risk model with an application to infertility. Biometrics, 75, 315-325.

29. Kim, S.B.^ and Hwang, B.S.* (2019) A Bayesian skewed logit model for high-risk drinking data. Journal of the Korean Data & Information Science Society, 30(2), 335-348.

30. Chen, Z., Hwang, B.S. and Kim, S. (2019) A correlated Bayesian rank likelihood approach to multiple ROC curves for endometriosis. Statistics in Medicine, 38, 1374-1385.

31. Hwang, B.S. and Pennell, M.L. (2018) Semiparametric Bayesian joint modeling of clustered binary and continuous outcomes with informative cluster size in developmental toxicity assessment. Environmetrics, 29:e2526, 1-15.

32. Choi, Y.K.^ and Hwang, B.S.* (2018) A Bayesian latent class model for effect of environmental pollutants on female infertility. Journal of the Korean Data & Information Science Society, 29(5), 1257-1268.

33. Kim, Y.K.^ and Hwang, B.S.* (2018) A Bayesian zero-inflated Poisson regression model with random effects with application to smoking behavior. The Korean Journal of Applied Statistics, 31(2), 287–301.

34. Kim, S.S., Mendola, P., Zhu, Y., Hwang, B.S. and Grantz, K.L. (2017) Spontaneous and indicated preterm delivery risk is increased among overweight and obese women without prepregnancy chronic disease. BJOG-An International Journal of Obstetrics and Gynaecology, 124, 1708–1716.

35. Wallace, M.E., Mendola, P., Chen, Z, Hwang, B.S. and Grantz, K. (2016) Preterm birth in the context of increasing income inequality. Maternal and Child Health Journal, 20, 164-171.

36. Mendola, P., Wallace, M., Hwang, B.S., Liu, D., Robledo, C., Mannisto, T., Sundaram, R., Sherman, S., Ying, Q. and Grantz, K.L. (2016) Preterm birth and air pollution: Critical windows of exposure for women with asthma. The Journal of Allergy and Clinical Immunology, 138(2), 432–440. 

37. Hwang, B.S. and Chen, Z. (2015) An integrated Bayesian nonparametric approach for stochastic and variability orders in ROC curve estimation: An application to endometriosis diagnosis. Journal of the American Statistical Association, 110, 923-934.

38. Flores, K.F., Robledo, C., Hwang, B.S., Leishear, K., Grantz, K. and Mendola, P. (2015) Does maternal asthma contribute to racial/ethnic disparities in obstetric and neonatal complications? Annals of Epidemiology, 25, 392-397.

39. Hwang, B.S.* and Pennell, M.L. (2014) Semiparametric Bayesian joint modeling of a binary and continuous outcome with applications in toxicological risk assessment. Statistics in Medicine, 33, 1162-1175. JSM 2013 Student/Young Researcher Paper Competition Award.

40. Fagundes, C.P., Glaser, R., Hwang, B.S., Malarkey, W.B. and Kiecolt-Glaser, J.K. (2013) Depressive symptoms enhance stress-induced inflammatory responses. Brain, Behavior, and Immunity, 31, 172-176.

41. Kiecolt-Glaser, J.K., Epel, E.S., Belury, M.A., Andridge, R., Lin, J., Glaser, R., Malarkey, W.B., Hwang, B.S. and Blackburn, E. (2013) Omega-3 fatty acids, oxidative stress, and leukocyte telomere length: A randomized controlled trial. Brain, Behavior, and Immunity, 28, 16-24.

42. Kiecolt-Glaser, J.K., Belury, M.A., Andridge, R., Malarkey, W.B., Hwang, B.S. and Glaser, R. (2012) Omega-3 supplementation lowers inflammation in healthy middle-aged and older adults: A randomized controlled trial. Brain, Behavior, and Immunity, 26, 988-995. 

43. Kiecolt-Glaser, J.K., Christian, L.M., Andridge, R., Hwang, B.S., Malarkey, W.B., Belury, M.A., Emery, C.F. and Glaser, R. (2012) Adiponectin, Leptin and Yoga Practice. Physiology & Behavior, 107, 809-813. 

44. Fagundes, C.P., Murray, D.M., Hwang, B.S., Gouin, J., Thayer, J.F., Sollers III, J.J., Shapiro, C.L., Malarkey, W.B. and Kiecolt-Glaser, J.K. (2011) Sympathetic and parasympathetic activity in cancer-related fatigue: More evidence for a physiological substrate in cancer survivors. Psychoneuroendocrinology, 36(8), 1137-1147.   

 Under Revision/Review or In Preparation

    * corresponding author     ^ mentored student

1. Hwang, B.S. and Chen, Z. A Bayesian nonparametric approach for the effect of a behavioral intervention on family management of Type 1 diabetes through hidden Markov models. In preparation.

2. Hwang, B.S. and Chen, Z. Bayesian analysis for fitting zero-inflated Poisson model using auxiliary mixture sampling. In preparation.

3. Chen, Z., Hwang, B.S. and Kim, S. A placement value-based approach to correlated and concave ROC curves with order constraints. In preparation.

4. Liu, D., Hwang, B.S. and Chen, Z. Semiparametric estimation of ROC curve with multiple imperfect gold standard. In preparation.

Curriculum Vitae