Thomas R. Ten Have, PhD, MPH
| Office Location | 607, Blockley Hall |
| Office Phone | 215-573-4885 |
| ttenhave@mail.med.upenn.edu | |
Faculty Information | |
| CCEB Appointment | Senior Scholar, Biostatistics |
| Primary Faculty Appointment | Professor of Biostatistics, University of Pennsylvania SOM |
Research Statement
Dr. Ten Have's statistical research interests are in categorical data analysis, random effects models, informative dropout, treatment non-adherence, and designs and statistical analyses for complex adaptive treatment regimes. These methodological interests have contributed to the collaborative research projects on which Dr. Ten Have has served. Currently, Dr. Ten Have is Director of the Biostatistics-Data Core and Co-Investigator of the NIMH-sponsored Advanced Center for Intervention Services Research (ACISR) for Depression in the Aged. In this capacity, Dr. Ten Have is collaborating on trials involving the prevention of suicide in elderly primary care patient; the treatment of post-menopausal women with estrogen for depression; the treatment of substance abuse, anxiety, and depression in elderly veterans; and disparities of screening and treatment for mental health disorders in participants of color. He also is participating on a number of post-study analyses of disease-related functional disability and depression; the interaction of age and race on the association between estrogen or its precursors and depression; and the impact of hospitalization for delirium on elderly patients. In addition to investigating methods for accommodating drop-out in longitudinal studies, Dr. Ten Have is focusing on other methodological issues including: 1) accounting for different sources of non-adherence in randomized trials, such as patient- and physician-level non-adherence to randomized treatment regimes; 2) analyses of data from practice-randomized studies; and 3) designs and analyses of clinical trials investigating complex multi-component, adaptive treatment regimes. Finally, Dr. Ten Have is strongly committed to affirmative action in the recruitment of students, faculty members, investigators, study participants, and research topics.).
Dr. Ten Have is a member of the American Statistical Association, the Institute of Mathematical Statistics, the International Biometrics Society, the Society for Epidemiological Research, and the American Public Health Association. He is Associate Editor for Biometrics and Associate Editor for the Journal of the Royal Statistical Society, Series C.
Additional Information:
Additional Papers/Course Notes/Software
Causal Modeling Group Website
Courses Taught
BSTA 652 - Categorical Data Analysis (Use the PennKey login option. Only registered students will be able to access course materials.)
Selected Publications
TenHave TR, Miller ME, Reboussin BA, James MK. Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple cause drop-out from the longitudinal study of aging. Biometrics. 56:279-287, 2000.
Miller, M.E., Ten Have, T.R., Reboussin, B.A., Lohman, K.K. and Rejeski, A.J. A marginal model for analyzing outcomes from longitudinal surveys with outcomes subject to multiple cause non-response. Journal of the American Statistical Association. 96:844-857, 2001.
TenHave TR, Localio AR. Empirical Bayes estimation of random effects parameters in mixed effects logistic regression models. Biometrics. 55:1022-29, 1999.
TenHave, T.R. and Morabia, A.M. An assessment of non-randomized medial treatment of long-term schizophrenia relapse using bivariate binary response transition models. Biostatistics. 3:119-131, 2002.
TenHave, T.R., Joffe, M.M., and Cary, M. Causal logistic models for non-compliance under randomized treatment with univariate binary response. Statistics in Medicine. 22:1255-1284, 2003.
Ten Have, T.R., Coyne, J.C., Salzer, M., Katz, I.R. Research to improve the quality of care for depression: alternatives to the simple randomized clinical trial. General Hospital Psychiatry. 25:115-123, 2003.
Bruce, M.L., Ten Have, T.R., Reynolds, C.F. III, Katz, I.R., Schulberg, H.C., Mulsant, B.H., Brown, G.K., McAvay, G.J., Pearson, J.L. and Alexopoulos, G.S. A randomized trial to reduce suicidal ideation and depressive symptoms in depressed older primary care patients: The PROSPECT Study. Journal of the American Medical Association, 291:1081-1091, 2004.
Ten Have, T.R, Elliott, M.,Joffe M., Zanutto, E. and Datto, C. Causal models for randomized physician encouragement trials in treating primary care depression. Journal of the American Statistical Association, 99: 8-16, 2004.
Brown, G.K., TenHave, T., Henriques, G.R., Xie, S.X., Hollander, J.E. and Beck, A.T. Cognitive therapy for the prevention of suicide attempts: a randomized controlled trial. Journal of the American Medical Association, 294:563-570, 2005
Small, D., TenHave, T.R. and Cheng, J. Random effects logistic models for analyzing efficacy of a longitudinal journal treatment with non-adherence. Statistics
in Medicine, in press.
