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Research

Mentees

Haitao Liu, Data Science Intern, Division of Biostatistics and Health Service Research, Department of Quantitative Health Sciences, University of Massachusetts Medical School. June 2018--August 2018.

Sravya Shankara, Biostatistics Intern, Division of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School. June 2019 ΜΆ August 2019.

Publications

Zhang N, Field T, Mazor K, Zhou Y, Lapane K, Gurwitz J. The increasing prevalence of obesity in residents of U.S. nursing homes: 2005-2015. J Gerontology: Med Sciences. Forthcoming.

Zhang N, Lu F, Zhou Y, Zhang B, Crawford S, Gurwitz J.  Body mass index and 30-day adverse outcomes among newly admitted residents to skilled nursing facilities.  J Am Med Dir Assoc. Forthcoming.

Zhang N, Zhou Y, Lu S, Zhang B, Copeland C, Gurwitz J.  Body mass index, falls and hip fractures among nursing home residents.  J Gerontology: Med Sciences 2018. Forthcoming. doi: 10.1093/gerona/gly039

Zhang, B., Liu, W., Zhang, N., Ash, A.S., Allison, J.J. (2018). A collection of marginalized two-part random-effects models for analyzing medical expenditure panel data: Impact of the New Cooperative Medical Scheme on healthcare expenditures in China. Statistical Methods in Medical Research, published online before print, DOI: 10.1177/ 0962280218784725.

Liu, X., Zhang, B., Tang, L., Zhang, Z., Zhang, N., Allison, J.J., Srivastava, D.K., Zhang, H. (2018). Are marginalized two-part models superior to non-marginalized two-part models for count data with excess zeroes? Estimation of marginal effects, model misspecification and selection. Health Services and Outcomes Research Methodology, Volume 18, Issue 3, Pages 175-214.

Zhang, B., Liu, W., Zhang, N., Ash, A.S., Allison, J.J. (2018). A collection of marginalized two-part random-effects models for analyzing medical expenditure panel data: Impact of the New Cooperative Medical Scheme on healthcare expenditures in China. Statistical Methods in Medical Research, published online before print, DOI: 10.1177/ 0962280218784725.

Tang, L., Zhang, H., Zhang, B. (2019).  A note on error bars as a graphical representation of the variability of data in biomedical research: Standard deviation or standard error of the mean? Journal of Pancreatology, published online before print, DOI: 10.1097/JP9.0000000000000024.

Zhang, B., Liu, W., Lemon, S.C., Barton, B.A., Fischer, M.A., Lawrence, C., Rahn, E., Danila, M.I., Saag, K.G., Harris, P.A., Allison, J.J. (2019). Design, analysis, power and sample size calculation for three-phase interrupted time series analysis in evaluation of health policy interventions. Journal of Evaluation in Clinical Practice, published online before print, DOI: 10.1111/jep.13266.

Zhang, B., Ye, S., Shankara, S.B., Zhang, H., Zheng, Q. (2019). Neutral diagnosis: An innovative concept for medical device clinical trials. Contemporary Clinical Trials Communications, published online before print, DOI: 10.1016/j.conctc.2019.100436.

Zhang, B., Shankara, S.B., Ye, S., Zhang, H. (2019). Design and analysis of high-risk medical device clinical trials for diabetes monitoring and treatment: A review. Forthcoming in Journal of Pancreatology.