This is a request for continuation of support for a training program in Neurostatistics and Neuroepidemiology launched in 2004 at the Harvard School of Public Health (HSPH). The Grant will be administered through the Department of Biostatistics. It will involve active participation by an accomplished, experienced, and multidisciplinary training faculty, including 11 primary trainers at HSPH and 23 secondary trainers at the affiliated Harvard hospitals. These faculty members have appointments at the Departments of Biostatistics and Epidemiology at HSPH and at Harvard Medical School. The proposed training program aims to serve two pressing needs in neurologic diseases research: the need for well-trained biostatisticians who have an understanding of and commitment to research in neuroscience and neurology and the need for highly trained neurologists who have an understanding of and commitment to utilization of quantitative research methods. To serve these critical needs, this grant proposes to train three pre-doctoral students and one post-doctoral student in biostatistics and two post-doctoral students in epidemiology. The biostatistics trainees will develop methodologic expertise in areas relevant to neurologic diseases research, including survival analysis, longitudinal studies, clinical trials, fMRI analysis, and genetic studies, and substantive expertise in several neurologic diseases and their accompanying measurement and analysis techniques. The epidemiology trainees will be highly qualified MD specialists in neurology (or related field). These trainees will develop expertise in epidemiologic and biostatistical methods, enabling them to pursue successful academic careers in clinical and translational neurologic diseases research. Trainees will spend a minimum of two years in the Program. The Program will capitalize on the strong tradition of training in biostatistical and epidemiologic methods at HSPH and on the rich and varied resources in neurologic diseases research available at Harvard. Trainees will complete coursework in biostatistical and epidemiologic methods and they will actively engage in collaborative research experiences, including many opportunities offered through the Harvard NeuroDiscovery Center.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Institutional National Research Service Award (T32)
Project #
Application #
Study Section
Special Emphasis Panel (ZNS1-SRB-P (47))
Program Officer
Korn, Stephen J
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Harvard University
Biostatistics & Other Math Sci
Schools of Public Health
United States
Zip Code
Matsouaka, Roland A; Betensky, Rebecca A (2015) Power and sample size calculations for the Wilcoxon-Mann-Whitney test in the presence of death-censored observations. Stat Med 34:406-31
Rist, Pamela M; Marden, Jessica R; Capistrant, Benjamin D et al. (2015) Do physical activity, smoking, drinking, or depression modify transitions from cognitive impairment to functional disability? J Alzheimers Dis 44:1171-80
van Etten, Ellis S; Auriel, Eitan; Haley, Kellen E et al. (2014) Incidence of symptomatic hemorrhage in patients with lobar microbleeds. Stroke 45:2280-5
Wong, Kin Foon Kevin; Smith, Anne C; Pierce, Eric T et al. (2014) Statistical modeling of behavioral dynamics during propofol-induced loss of consciousness. J Neurosci Methods 227:65-74
Matsouaka, Roland A; Li, Junlong; Cai, Tianxi (2014) Evaluating marker-guided treatment selection strategies. Biometrics 70:489-99
Austin, Matthew D; Betensky, Rebecca A (2014) Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure. Comput Stat Data Anal 73:16-26
Marden, Jessica R; Walter, Stefan; Tchetgen Tchetgen, Eric J et al. (2014) Validation of a polygenic risk score for dementia in black and white individuals. Brain Behav 4:687-97
Lubitz, Steven A; Bauer, Kenneth A; Benjamin, Emelia J et al. (2013) Stroke prevention in atrial fibrillation in older adults: existing knowledge gaps and areas for innovation: a summary of an American Federation for Aging research seminar. J Am Geriatr Soc 61:1798-803
Waikar, Sushrut S; Betensky, Rebecca A; Emerson, Sarah C et al. (2013) Imperfect gold standards for biomarker evaluation. Clin Trials 10:696-700
Asafu-Adjei, Josephine K; Sampson, Allan R; Sweet, Robert A et al. (2013) Adjusting for matching and covariates in linear discriminant analysis. Biostatistics 14:779-91

Showing the most recent 10 out of 40 publications