Xin Tu, PhD
- University of Rochester
Dept of Biostatistics and Computational Biology
601 Elmwood Avenue Box 630
Rochester, New York 14642
Office: Saunders Research Building 4239
Phone: (585) 275-0413
Fax: (585) 273-1031
Data and Programming for Applied Categorical and Count Data Analysis
Xin Tu (Ph.D.) is Professor of Biostatistics and Psychiatry in the Department of Biostatistics and Computational Biology and Department of Psychiatry. He is the Director of the Statistical Consulting Center and the Director of the Psychiatric Statistics Division within the Department of Biostatistics and Computational Biology.
Dr. Tu has done important work in the areas of U-statistics, longitudinal data analysis, survival analysis with interval censoring and truncation, and pooled testing, and has successfully applied his novel development to addressing important methodological problems in HIV/AIDS, mental health and psychosocial research. In recent years, he and his group have been focusing on issues arising in research on accuracy of proxy outcomes, causal effect from group-based psychosocial interventions and observational longitudinal data, and intervention pathways (mechanism of action) as well as interplay between biological, behavioral and societal factors in the study of disease etiology and treatment.
Dr. Tu has co-authored two books, Modern Applied U-Statistics (2007, Wiley) and Applied Categorical and Count Data Analysis (2012, CRC), co-edited a book, Modern Clinical Trial Analysis (2012, Springer Science), 9 book chapters, and over 150 peer-reviewed publications. He has mentored 5 PhD., 3 postdoctoral and numerous Master-level students in biostatistics. The Ph.D. and postdoctoral students all have successfully secured faculty positions at major research universities including the Johns Hopkins University. He is currently mentoring two pre-doctoral students.
- DeGruttola, V. and Tu, X.M. (1994). Modeling the relationship between disease progression and survival time. Biometrics 50:1905-1919.
- Tu, X.M., Litvak, E., and Pagano, M. (1995). On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: application to HIV screening. Biometrika 82:287-297.
- March, J., Foa, E.B, Gammon, P., Chrisman, A., Curry, J., Fitzgerald, D., Sullivan, K., Franklin, M., Huppert, J., Rynn, M., Zhao, N., Zoellner, L., Leonard, H., Garcia, A., Freeman, J. and Tu, X.M. (2004). Cognitive-behavior therapy, sertraline, and their combination for children and adolescents with obsessive-compulsive disorder – The pediatric OCD treatment study (POTS) randomized controlled trial. Journal of the American Medical Association 292:1969-1976.
- Marcus, S.M., Gorman, J.M., Tu, X.M., Gibbons, R.D., Barlow, D.H., Woods, S.W. and Shear, M.K. (2006). Rater bias in a blinded randomized placebo-controlled psychiatric trial. Statistics in Medicine 25:2762-2770.
- Lamberti, J.S., Olson, D., Crilly, J.F., Olivares, T., Williams, G.C., Tu, X.M., Tang, W., Wiener, K., Dvorin, S., Dietz, M.B., Bushey, M.P. and Maharaj, K. (2006). Prevalence of the metabolic syndrome among patients receiving Clozapine. The American Journal of Psychiatry 163:1273-1276. Link to BBC World News coverage.
- Tu, X.M., Zhang, J., Kowalski, J., Shults, J., Feng, C., Sun, W. and Tan, W. (2007). Power analyses for longitudinal study designs with missing data. Statistics in Medicine 26:2958-2981.
- Lyness, J.M., Kim, J., Tang, W., Tu, X.M., Conwell, Y. King, D.A. and Caine, E.D. (2007). The clinical significance of subsyndromal depression in older primary care patients. American Journal of Geriatric Psychiatry 15:214-223.
- Ma, Y., Tang, W., Feng, C. and Tu, X.M. (2008). Inference for Kappas for longitudinal study data: Applications to sexual health research. Biometrics 64:781-789.
- Wan, C., Zhang, C., Cai, L., Tu, X.M., Feng, C., Luo, J. and Zhang, X. (2009). Psychometric properties of the Chinese version of the FACT-L for measuring quality of life in patients with lung cancer. Lung Cancer 56:415-421.
- Tang, W., Yu, Q., Crits-Christoph, P. and Tu, X.M. (2009). A new analytic framework for moderation analysis – Moving beyond analytic interactions. Journal of Data Science 7:313-329.
- Knox, K.L., Lavigne, J.E., Pflanz, S., Talcott, G.W., Campise, R.L., Bajorska, A., Tu, X.M., and Caine, E.D. (2010). The US Air Force Suicide Prevention Program: Implications for public health policy. American Journal of Public Health 100(12):2457-2463.
- Zhang, H., Lu, N., Feng, C., Thurston, S., Xia, Y. and Tu, X.M. (2011). On fitting generalized linear mixed-effects models for binary responses using different statistical packages. Statistics in Medicine 30:2562-2572.