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Jing Huang, Ph.D.
5aAssociate Professor of Biostatistics and Epidemiology
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Department: Biostatistics and Epidemiology
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Graduate Group Affiliations
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Contact information
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University of Pennsylvania Perelman School of Medicine
41 Department of Biostatistics, Epidemiology and Informatics
19 625 Blockley Hall
3a 423 Guardian Drive
Philadelphia, PA 19104-6021
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41 Department of Biostatistics, Epidemiology and Informatics
19 625 Blockley Hall
3a 423 Guardian Drive
Philadelphia, PA 19104-6021
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Education:
21 7 BS 14 (Biology) c
43 Wuhan University, Wuhan, Hubei, P.R. China, 2007.
21 7 MS 1a (Biostatistics) c
89 University of Texas Health Sciences Center at Houston, Department of Biostatistics and Data Science, Houston, TX, 2011.
21 8 PhD 1a (Biostatistics) c
89 University of Texas Health Sciences Center at Houston, Department of Biostatistics and Data Science, Houston, TX, 2016.
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Permanent link21 7 BS 14 (Biology) c
43 Wuhan University, Wuhan, Hubei, P.R. China, 2007.
21 7 MS 1a (Biostatistics) c
89 University of Texas Health Sciences Center at Houston, Department of Biostatistics and Data Science, Houston, TX, 2011.
21 8 PhD 1a (Biostatistics) c
89 University of Texas Health Sciences Center at Houston, Department of Biostatistics and Data Science, Houston, TX, 2016.
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1de Huang, J., Fisher, B.T., Tam, V., Wang, Z., Song, L., Shi, J., La Rochelle, C., Wang, X., Morris, J.S., Coffin, S.E. and Rubin, D.M.: The effectiveness of government masking mandates on COVID-19 county-level case incidence across the United States, 2020: study examines the effectiveness of US government masking mandates during a portion of the COVID-19 pandemic. Health Affairs 41(3): 445-453, Feb 2022.
16b Matone, M., Wang, X., Marshall, D., Huang, J., Worsley, D., Filograna, C. and Rubin, D: Association of in-person versus virtual education with community COVID-19 case incidence following school reopenings in the first year of the COVID-19 pandemic. JAMA Network Open 6(4): 238300, Apr 2023.
178 Zhou, Y., Shi, J., Stein, R., Liu, X., Baldassano, R. N., Forrest, C. B., Chen, Y. and Huang, J.: Missing data matter: an empirical evaluation of the impacts of missing EHR data in comparative effectiveness research. Journal of the American Medical Informatics Association 30(7): 1246–1256, July 2023.
14b Chen, A., Stein, R, Baldassano, R. N. and Huang, J.: Learning longitudinal patterns and subtypes of pediatric Crohn disease treated with infliximab via trajectory cluster analysis. Journal of Pediatric Gastroenterology and Nutrition 74(3): 383-388, Mar 2022.
1c6 Rubin, D., Huang, J., Fisher, B.T., Gasparrini, A., Tam, V., Song, L., Wang, X., Kaufman, J., Fitzpatrick, K., Jain, A., Griffs, H., Crammer, K., Morris J. and Tasian, G.: The association of social distancing, population density, and temperature with the SARS-CoV-2 instantaneous reproduction number in counties across the United States. JAMA Network Open 3(7): e2016099, Jul 2020.
162 Luo, C., Jiang, Y., Du, J., Tong, J., Huang, J., Lo Re III, V., Ellenberg, S.S., Poland, G.A., Tao, C. and Chen, Y.: Prediction of post-vaccination Guillain-Barre syndrome using data from a passive surveillance system. Pharmacoepidemiology and Drug Safety 30(5): 602-609, May 2021.
156 Huang, J., Cai, Y., Du, J., Li, R., Ellenberg, S. S., Hennessy, S., Tao, C. and Chen, Y.: Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system. The Annals of Applied Statistics 15(1): 252-269, Mar 2021.
150 Morris, J. S. and Huang, J.: Discussion of "Evaluate the risk of resumption of business for the states of New York, New Jersey and Connecticut via a pre-symptomatic and asymptomatic transmission model of COVID-19" Journal of Data Science 19(2): 206-209, May 2021.
e2 Huang, J., Yuan, Y. and Wetter, D.: Latent class dynamic mediation model with application to smoking cessation data. Psychometrika 84(1): 1-18, Mar 2019.
13b Cai, Y., Huang, J., Ning, J., Lee, M. T., Rosner, B. and Chen, Y.: Two-sample test for correlated data under outcome-dependent sampling with an application to self-reported weight loss data. Statistics in Medicine 38(25): 4999-5009, Nov 2019.
14c Liu, Y., Huang, J., Urbanowicz, R. J., Chen, K., Manduchi, E., Greene, C. S., Moore, J. H., Scheet, P. and Chen, Y.: Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genetic Epidemiology 44(1): 52-66, Jan 2020.
160 Tong, J., Huang, J., Chubak, J., Wang, X., Moore, J. H., Hubbard, R. A., Chen, Y.: An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. Journal of the American Medical Informatics Association 27(2): 244-253, Oct 2019.
d5 Huang, J., Ning, Y., Reid, N. and Chen, Y.: On specification tests for composite likelihood inference. Biometrika 107(4): 907-917, Dec 2020.
b5 Huang, J. and Yuan, Y.: Bayesian dynamic mediation analysis. Psychological Methods 22(4): 667-686, Dec 2017.
125 Duan, R., Cao, M., Wu, Y., Huang, J., Denny, J. C., Xu, H. and Chen, Y.: An empirical study for impacts of measurement errors on EHR based association studies. AMIA Annual Symposium Proceedings 2016: 1764-1773, Feb 2016.
165 Huang, J., Liu, Y., Vitale, S., Penning, T. M., Whitehead, A. S., Blair, I. A., Vachani, A., Clapper, M. L., Muscat, J. E., Lazarus, P., Scheet, P., Moore, J. H. and Chen, Y.: On meta- and mega-analyses for gene-environment interactions. Genetic Epidemiology 41(8): 876-886, Dec 2017.
180 Huang, J., Duan, R., Hubbard, R. A., Wu, Y., Moore, J. H., Xu, H. and Chen, Y.: PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. Journal of the American Medical Informatics Association 25(3): 345-352, Mar 2018.
128 Hubbard, R. A., Huang, J., Harton, J., Oganisian, A., Choi, G., Utidjian, L., Eneli, I., Bailey, L. C. and Chen, Y.: A Bayesian latent class approach for EHR-based phenotyping. Statistics in Medicine 38(1): 74-87, Jan 2019.
149 Qiu, C., Hanson, R. L., Fufaa, G., Kobes, S., Gluck, C., Huang, J., Chen, Y., Raj, D., Nelson, R. G., Knowler, W. C. and Susztak, K.: Cytosine methylation predicts renal function decline in American Indians. Kidney International 93(6): 1417-1431, Jun 2018.
1c8 Gluck, C., Qiu, C., Han, S. Y., Palmer, M., Park, J., Ko, Y. A., Guan, Y., Sheng, X., Hanson, R. L., Huang, J., Chen, Y., Park, A. S. D., Izquierdo, M. C., Mantzaris, I., Verma, A., Pullman, J., Li, H. and Susztak, K.: Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease. Nature Communications 10(1): 2461, Jun 2019.
1a5 Orlandi, P. F., Huang, J., Fukagawa, M., Hoy, W., Jha, V., Oh, K. H., Sola, L., Cockwell, P., Levin, A., Feldman, H. I. and iNET-CKD Collaborators: A collaborative, individual-level analysis compared longitudinal outcomes across the International Network of Chronic Kidney Disease (iNETCKD) cohorts. Kidney International 96(5): 1217-1233, Nov 2019.
1bc Ellison, J. S., Lorenzo, M., Chu, D.I., Forrest, C. B., Huang, J., Kurtz, M. P., Lendvay, T. S., Sturm, R. M. and Tasian, G. E. on behalf of the Pediatric KIDney Stone Care Improvement Network: Comparative effectiveness of Pediatric Kidney Stone Surgery (the PKIDS Trial): study protocol for a patient-centered pragmatic clinical trial. BMJ Open 12(4): e056789, Apr 2022.
18a Savla, J. J., Putt, M.E., Huang, J., Parry, S., Moldenhauer, J. S., Reilly, S., Youman, O., Rychik, J., Mercer-Rosa, L., Gaynor, J. W. and Kawut, S. M.: Impact of maternal–fetal environment on mortality in children with single ventricle heart disease. Journal of the American Heart Association 11(2): e020299, Jan 2022.
179 Shustak R. J., Huang, J., Tam V., Stagg A., Giglia T. M., Ravishankar C., Mercer-Rosa L., Guevara, J. P. and Gardner M. M.: Neighborhood social vulnerability and interstage weight gain: Evaluating the role of a home monitoring program. Journal of the American Heart Association 12(18): e030029, Sep 2023.
153 Mitchel, E.B., Huang, J., Zemel, B., Baldassano, R., Albenberg, L. and Denburg, M.: Trajectory of body mass index and obesity in children with Crohn’s disease compared to healthy children. Journal of Pediatric Gastroenterology and Nutrition 78(1): 85-94, Jan 2024.
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Selected Publications
f8 Chen, Y., Huang, J., Ning, Y., Liang, K.-Y., and Lindsay, B. G.: A conditional composite likelihood ratio test with boundary constraints. Biometrika 105(1): 225-232, Mar 2018.1de Huang, J., Fisher, B.T., Tam, V., Wang, Z., Song, L., Shi, J., La Rochelle, C., Wang, X., Morris, J.S., Coffin, S.E. and Rubin, D.M.: The effectiveness of government masking mandates on COVID-19 county-level case incidence across the United States, 2020: study examines the effectiveness of US government masking mandates during a portion of the COVID-19 pandemic. Health Affairs 41(3): 445-453, Feb 2022.
16b Matone, M., Wang, X., Marshall, D., Huang, J., Worsley, D., Filograna, C. and Rubin, D: Association of in-person versus virtual education with community COVID-19 case incidence following school reopenings in the first year of the COVID-19 pandemic. JAMA Network Open 6(4): 238300, Apr 2023.
178 Zhou, Y., Shi, J., Stein, R., Liu, X., Baldassano, R. N., Forrest, C. B., Chen, Y. and Huang, J.: Missing data matter: an empirical evaluation of the impacts of missing EHR data in comparative effectiveness research. Journal of the American Medical Informatics Association 30(7): 1246–1256, July 2023.
14b Chen, A., Stein, R, Baldassano, R. N. and Huang, J.: Learning longitudinal patterns and subtypes of pediatric Crohn disease treated with infliximab via trajectory cluster analysis. Journal of Pediatric Gastroenterology and Nutrition 74(3): 383-388, Mar 2022.
1c6 Rubin, D., Huang, J., Fisher, B.T., Gasparrini, A., Tam, V., Song, L., Wang, X., Kaufman, J., Fitzpatrick, K., Jain, A., Griffs, H., Crammer, K., Morris J. and Tasian, G.: The association of social distancing, population density, and temperature with the SARS-CoV-2 instantaneous reproduction number in counties across the United States. JAMA Network Open 3(7): e2016099, Jul 2020.
162 Luo, C., Jiang, Y., Du, J., Tong, J., Huang, J., Lo Re III, V., Ellenberg, S.S., Poland, G.A., Tao, C. and Chen, Y.: Prediction of post-vaccination Guillain-Barre syndrome using data from a passive surveillance system. Pharmacoepidemiology and Drug Safety 30(5): 602-609, May 2021.
156 Huang, J., Cai, Y., Du, J., Li, R., Ellenberg, S. S., Hennessy, S., Tao, C. and Chen, Y.: Monitoring vaccine safety by studying temporal variation of adverse events using vaccine adverse event reporting system. The Annals of Applied Statistics 15(1): 252-269, Mar 2021.
150 Morris, J. S. and Huang, J.: Discussion of "Evaluate the risk of resumption of business for the states of New York, New Jersey and Connecticut via a pre-symptomatic and asymptomatic transmission model of COVID-19" Journal of Data Science 19(2): 206-209, May 2021.
e2 Huang, J., Yuan, Y. and Wetter, D.: Latent class dynamic mediation model with application to smoking cessation data. Psychometrika 84(1): 1-18, Mar 2019.
13b Cai, Y., Huang, J., Ning, J., Lee, M. T., Rosner, B. and Chen, Y.: Two-sample test for correlated data under outcome-dependent sampling with an application to self-reported weight loss data. Statistics in Medicine 38(25): 4999-5009, Nov 2019.
14c Liu, Y., Huang, J., Urbanowicz, R. J., Chen, K., Manduchi, E., Greene, C. S., Moore, J. H., Scheet, P. and Chen, Y.: Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genetic Epidemiology 44(1): 52-66, Jan 2020.
160 Tong, J., Huang, J., Chubak, J., Wang, X., Moore, J. H., Hubbard, R. A., Chen, Y.: An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. Journal of the American Medical Informatics Association 27(2): 244-253, Oct 2019.
d5 Huang, J., Ning, Y., Reid, N. and Chen, Y.: On specification tests for composite likelihood inference. Biometrika 107(4): 907-917, Dec 2020.
b5 Huang, J. and Yuan, Y.: Bayesian dynamic mediation analysis. Psychological Methods 22(4): 667-686, Dec 2017.
125 Duan, R., Cao, M., Wu, Y., Huang, J., Denny, J. C., Xu, H. and Chen, Y.: An empirical study for impacts of measurement errors on EHR based association studies. AMIA Annual Symposium Proceedings 2016: 1764-1773, Feb 2016.
165 Huang, J., Liu, Y., Vitale, S., Penning, T. M., Whitehead, A. S., Blair, I. A., Vachani, A., Clapper, M. L., Muscat, J. E., Lazarus, P., Scheet, P., Moore, J. H. and Chen, Y.: On meta- and mega-analyses for gene-environment interactions. Genetic Epidemiology 41(8): 876-886, Dec 2017.
180 Huang, J., Duan, R., Hubbard, R. A., Wu, Y., Moore, J. H., Xu, H. and Chen, Y.: PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. Journal of the American Medical Informatics Association 25(3): 345-352, Mar 2018.
128 Hubbard, R. A., Huang, J., Harton, J., Oganisian, A., Choi, G., Utidjian, L., Eneli, I., Bailey, L. C. and Chen, Y.: A Bayesian latent class approach for EHR-based phenotyping. Statistics in Medicine 38(1): 74-87, Jan 2019.
149 Qiu, C., Hanson, R. L., Fufaa, G., Kobes, S., Gluck, C., Huang, J., Chen, Y., Raj, D., Nelson, R. G., Knowler, W. C. and Susztak, K.: Cytosine methylation predicts renal function decline in American Indians. Kidney International 93(6): 1417-1431, Jun 2018.
1c8 Gluck, C., Qiu, C., Han, S. Y., Palmer, M., Park, J., Ko, Y. A., Guan, Y., Sheng, X., Hanson, R. L., Huang, J., Chen, Y., Park, A. S. D., Izquierdo, M. C., Mantzaris, I., Verma, A., Pullman, J., Li, H. and Susztak, K.: Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease. Nature Communications 10(1): 2461, Jun 2019.
1a5 Orlandi, P. F., Huang, J., Fukagawa, M., Hoy, W., Jha, V., Oh, K. H., Sola, L., Cockwell, P., Levin, A., Feldman, H. I. and iNET-CKD Collaborators: A collaborative, individual-level analysis compared longitudinal outcomes across the International Network of Chronic Kidney Disease (iNETCKD) cohorts. Kidney International 96(5): 1217-1233, Nov 2019.
1bc Ellison, J. S., Lorenzo, M., Chu, D.I., Forrest, C. B., Huang, J., Kurtz, M. P., Lendvay, T. S., Sturm, R. M. and Tasian, G. E. on behalf of the Pediatric KIDney Stone Care Improvement Network: Comparative effectiveness of Pediatric Kidney Stone Surgery (the PKIDS Trial): study protocol for a patient-centered pragmatic clinical trial. BMJ Open 12(4): e056789, Apr 2022.
18a Savla, J. J., Putt, M.E., Huang, J., Parry, S., Moldenhauer, J. S., Reilly, S., Youman, O., Rychik, J., Mercer-Rosa, L., Gaynor, J. W. and Kawut, S. M.: Impact of maternal–fetal environment on mortality in children with single ventricle heart disease. Journal of the American Heart Association 11(2): e020299, Jan 2022.
179 Shustak R. J., Huang, J., Tam V., Stagg A., Giglia T. M., Ravishankar C., Mercer-Rosa L., Guevara, J. P. and Gardner M. M.: Neighborhood social vulnerability and interstage weight gain: Evaluating the role of a home monitoring program. Journal of the American Heart Association 12(18): e030029, Sep 2023.
153 Mitchel, E.B., Huang, J., Zemel, B., Baldassano, R., Albenberg, L. and Denburg, M.: Trajectory of body mass index and obesity in children with Crohn’s disease compared to healthy children. Journal of Pediatric Gastroenterology and Nutrition 78(1): 85-94, Jan 2024.
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