
​Contact Information:
Joel Dubin
​Health Data Science Lab (HDSL) Lead:
Research interests
My primary research interest is in the area of methodological development in longitudinal data analysis, including for multivariate longitudinal data, where more than one outcome, (e.g., systolic blood pressure, heart rate, and respiratory rate) are each followed for individuals over time. Methods pursued for this type of data include the correlation of different longitudinal outcomes over time using curve-based methods, and incorporating lags and derivatives of the curves. I am also interested in change point and latent response models for longitudinal data, as well as prediction models, including the consideration of similarity to improve prediction accuracy.
I work in a variety of application areas, including intensive care, electronic health records, mobile health, child health, nephrology, cancer, smoking cessation, nutrition, aging, and environmental issues.
Education/biography
After completing my masters degree in Applied Statistics at Villanova University in 1993, I worked at Veteran Affairs Health Services and Research in Houston, Texas; and at the University of Texas M.D. Anderson Cancer Center, also in Houston.
I then went on to receive my PhD in Statistics from the University of California at Davis in 2000, after which I worked as an assistant professor at the Yale University Division of Biostatistics, now the Department of Biostatistics, forging several collaborations with researchers in public health and medicine.
I arrived as an associate professor at the University of À¶Ý®ÊÓÆµ in 2005, with a joint appointment in the Department of Statistics and Actuarial Science, and the Department of Health Studies and Gerontology, the latter which is now the School of Public Health Sciences.
Selected publications
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Shi Y, Zhu Y, Dubin JA. . In press, Statistics in Biosciences, 2025. https://doi.org/10.1007/s12561-025-09495-4
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Tompkins G, Dubin JA, Wallace M. . In press, Statistical Methods in Medical Research, 2025. https://doi.org/10.1177/09622802241313289
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Sun Z, Zhu Y, Dubin JA. . In press, Canadian Journal of Statistics, 2025. Early view online access: https://doi.org/10.1002/cjs.70002
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Krikella T, Dubin JA. . Statistics in Medicine, 44: e70077, 2025. http://dx.doi.org/10.1002/sim.70077
- Mussavi Rizi M, Dubin JA, Wallace M. .Ìý Statistics in Medicine, 43(30): 5944-5967, 2024. https://doi.org/10.1002/sim.10278
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Sun Z, Zhu Y, Dubin JA. .Ìý Journal of Causal Inference, 12(1): 20220079, 2024.Ìýhttps://doi.org/10.1515/jci-2022-0079
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Saqib K, Goel V, Dubin JA, VanderDoes J, Butt Z. . Public Health, 236: 70-77, 2024. https://doi.org/10.1016/j.puhe.2024.07.008
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Gohari MR, Doggett A, Patte KA, Ferro M, Dubin JA, Hilario C, Leatherdale ST. . Published online, Social Psychiatry and Psychiatric Epidemiology, 2024. https://doi.org/10.1007/s00127-024-02695-1Â
- Sahu KS, Dubin JA, Majowicz S, Liu S, Morita PP. . JMIR Public Health and Surveillance, 2024;10:e46903. https://publichealth.jmir.org/2024/1/e46903
- Kang JW, Oremus M, Dubin JA, Tyas SL, Oga-Omenka C, Golberg M. . Archives of Gerontology and Geriatrics, 2024, 25: 105483. https://doi.org/10.1016/j.archger.2024.105483
- Sen A, Stevens NT, Tran NK, Agarwal RR, Zhang Q, Dubin JA. . Frontiers in Public Health (Infectious Diseases: Epidemiology and Prevention Section), 2023, 11:12594102023. https://doi.org/10.3389/fpubh.2023.1259410
- Luther A, Leatherdale ST, Dubin JA, Ferro MA. . Child and Youth Care Forum, 2023. Available online: https://doi.org/10.1007/s10566-023-09767-4
- Yeh C-K, Rice G, Dubin JA.ÌýÂ .ÌýÂ Electronic Journal of Statistics, 17: 650-687, 2023. https://doi.org/10.1214/23-EJS2112
- Battista K, Diao L, Patte KA, Dubin JA, Leatherdale ST. .ÌýHealth Promotion and Chronic Disease Prevention in Canada, 43(2): 73-86, 2023. https://doi.org/10.24095/hpcdp.43.2.03
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Yeh C-K, Rice G, Dubin JA.ÌýÂ .ÌýThe American Statistician, 76(3): 214-223, 2022.ÌýÂ https://www.tandfonline.com/doi/epub/10.1080/00031305.2021.1967781
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Battista K, Patte KA, Diao L, Dubin JA, Leatherdale ST. .ÌýInternational Journal of Environmental Research and Public Health, 19(17): 10873, 2022. https://doi.org/10.3390/ijerph191710873Â
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Feng S, Dubin JA.ÌýÂ .ÌýÂ Scientific Reports, 11:22203, 2021. https://doi.org/10.1038/s41598-021-01290-7
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Sahu KS, Majowicz S, Dubin JA, Morita PP. .ÌýÂ Frontiers in Public Health, 9:756675, 2021. https://doi.org/10.3389/fpubh.2021.756675
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Sharafoddini A, Dubin JA, Lee J. .ÌýComputers in Biology and Medicine, 2021. 130:104182.ÌýÂ https://doi.org/10.1016/j.compbiomed.2020.104182
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Pirrie M, Carson V, Dubin JA, Leatherdale ST. .ÌýInternational Journal of Environmental Research and Public Health, 18(23): 12761, 2021. https://doi.org/10.3390/ijerph182312761
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Ji K, Dubin JA.ÌýÂ .ÌýÂ Canadian Journal of Statistics, 48(3): 471-498, 2020. https://doi.org/10.1002/cjs.11543Â
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Gohari MR, Cook RJ, Dubin JA, Leatherdale ST. . Addictive Behaviors, 100: 106120, 2020.Ìýhttps://doi.org/10.1016/j.addbeh.2019.106120
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Xu Y, Lee J, Dubin JA. . arXiv:1903.01029; Computation (stat.CO), 2019
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Hack EE, Dubin JA, Fernandes M, Costa SC, Tyas SL. . Journal of Alzheimer’s Disease, 71(1): 201-212 2019. DOI: 10.3233/JAD-181302
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Gohari MR, Dubin JA, Cook RJ, Leatherdale ST. . Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice, 39(8-9): 244-253, 2019. DOI: 10.24095/hpcdp.39.8/9.02Â
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Yang Y, Hirdes JP, Dubin JA, Lee J.Ìý .Ìý Journal of Medical Internet Research (JMIR) - Aging, 2(1), e12153, 2019. http://dx.doi.org/10.2196/12153
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Sharafoddini A, Dubin JA, Maslove DM, Lee J.Ìý .Ìý JMIR (Journal of Medical Internet Research) – Medical Informatics, 7(1): e11605, 2019.Ìý DOI: 10.2196/11605
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Waudby-Smith I, Tran N, Dubin JA, Lee J.Ìý .Ìý PLOS ONE, 13(6): e0198687, 2018.Ìý
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Laxer RE, Cooke M, Dubin JA, Brownson RC, Chaurasia A, Leatherdale ST.Ìý .Ìý PLOS ONE, 13(1): e0190405, 2018.Ìý
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Sharafoddini A, Dubin JA, Lee J. Â . JMIR - Medical Informatics, 5(1): e7, 2017.
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Laxer RE, Brownson RC, Dubin JA, Cooke M, Chaurasia A, Leatherdale ST. Â . Â BMC Public Health, 17(102), 2017.Ìý
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Maslove DM, Dubin JA, Shrivats A, Lee J.  .  Clinical Care Medicine, 44(11): e1021-e1030, 2016.Ìý
- Raffa JD, Dubin JA.Ìý . Biometrics, 71(3): 821-831, 2015.
- Lee J, Maslove DM, Dubin JA.Ìý PLOS ONE, 10(5): e0127428, 2015.
- Leatherdale ST, Brown KS, Carson V, Childs RA, Dubin JA, Elliot SJ, Faulkner G, Hammond D, Manske S, Sabiston CM, Laxer RE, Bredin C, Thompson-Haile A.Ìý BMC Public Health, 14: 331, 2014.
- Khan, S.A., Chiu, G.S., Dubin, J.A. Therapeutic hypothermia: quantification of the transition of core body temperature using the flexible mixture bent-cable model for longitudinal data. Australian & New Zealand Journal of Statistics, 55: 369-385, 2013 (published in 2014).
- Foebel A.D., Heckman G.A., Ji K., Dubin J.A., Turpie I.D., Hussack P., McElvie R.S. Heart failure-related mortality and hospitalization in the year following admission to a long-term care facility: The Geriatric Outcomes and Longitudinal Decline in Heart Failure (GOLD-HF) Study. Journal of Cardiac Failure, 19(7): 468-477, 2013.
- Khan, S.A., Rana, M., Li, L., Dubin, J.A. A statistical investigation to monitor and understand atmospheric CFC decline with the spatial-longitudinal bent-cable model. International Journal of Statistics & Probability, 1(2): 56-68, 2012.
- Xiong, X, Dubin, J.A.Ìý A binning method for analyzing mixed longitudinal data measured at distinct time points. Statistics in Medicine, 29: 1919-1931, 2010.
- Dubin J.A., O'Malley S.S.Ìý Event charts for the analysis of adverse events in longitudinal studies: an example from a smoking cessation pharmacotherapy trial.Ìý The Open Epidemiology Journal, 3: 34-41, 2010.
- Khan, S.A., Chiu, G., Dubin, J.A.Ìý Atmospheric concentration of chlorofluorocarbons: addressing the global concern with the longitudinal bent-cable model.Ìý CHANCE, 22: 8-17, 2009.
- Hall P.A., Dubin J.A., Crossley M., Holmqvist M., D'Arcy, C.ÌýÂ Does executive function explain the IQ-mortality association? Evidence from the Canadian Study on Health and Aging.Ìý Psychosomatic Medicine, 71: 196-204, 2009.
- Wainwright, P.E., Leatherdale, S.E., Dubin, J.A.Ìý Advantages of mixed effects models over traditional ANOVA models in developmental studies: A worked example in a mouse model of fetal alcohol syndrome.Ìý Developmental Psychobiology, 49: 664-674, 2007.
- Dubin J.A., Han, L., Fried, T.R.Ìý Triggered sampling could help improve longitudinal studies of persons with elevated mortality risk.Ìý Journal of Clinical Epidemiology, 60: 288-293, 2007.
- Dubin J.A., Müller H.G.Ìý Dynamical correlation for multivariate longitudinal data.Ìý Journal of the American Statistical Association, 100: 872-881, 2005.
- Hardy, S.E., Dubin, J.A., Holford, T.R., Gill, T.M.Ìý Transitions between states of disability and independence among older persons.Ìý American Journal of Epidemiology, 161: 575-584, 2005.
- Dubin J.A., Müller H.G., Wang J.L.Ìý Event history graphs for censored survival data.Ìý Statistics in Medicine, 20: 2951-2964, 2001.
- Lee JJ, Hess KH, Dubin JA. Â Extensions and applications of event charts. Â American Statistician, 54(1): 63-70, 2000.
Software development
- Dubin JA, Li M, Qiao D, Müller HG.Ìý R package dynCorr to perform dynamical correlation analysis on multivariate longitudinal data, as described in Dubin and Müller (2005). On CRAN. Most recent version (1.1.0) updated in December 2017. Earlier updates (1.0.0) in June 2017, (0.1-2) in October 2012, and original completed (0.1-1) in February 2009.
- Dubin JA, Müller HG, Wang, JL. R (and S-Plus) function event.history, which is contained in Frank Harrell’s Hmisc package. The function is based on the method from Dubin, Müller, and Wang (2001). Completed in 2001.
- Lee JJ, Hess KH, Dubin JA.  R (and S-Plus) function event.chart, which is contained in Frank Harrell’s Hmisc package. The function is based on the method from Lee, Hess, and Dubin (2000), and Dubin, Lee, and Hess (1997). Completed in 1997, with updates in 2000 and 2008.