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
Wang, Wenjie; Chen, Ming-Hui; Chiou, Sy Han et al. (2016) Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data. BMC Med Res Methodol 16:122
Ramchandani, Ritesh; Schoenfeld, David A; Finkelstein, Dianne M (2016) Global rank tests for multiple, possibly censored, outcomes. Biometrics 72:926-35
Marden, Jessica R; Mayeda, Elizabeth R; Walter, Stefan et al. (2016) Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord :
Atem, Folefac D; Qian, Jing; Maye, Jacqueline E et al. (2016) Multiple Imputation of a Randomly Censored Covariate Improves Logistic Regression Analysis. J Appl Stat 43:2886-2896
Dhilla Albers, Alefiya; Asafu-Adjei, Josephine; Delaney, Mary K et al. (2016) Episodic memory of odors stratifies Alzheimer biomarkers in normal elderly. Ann Neurol 80:846-857
Walter, Stefan; Marden, Jessica R; Kubzansky, Laura D et al. (2016) Diabetic Phenotypes and Late-Life Dementia Risk: A Mechanism-specific Mendelian Randomization Study. Alzheimer Dis Assoc Disord 30:15-20
Naftulin, Jason S; Kimchi, Eyal Y; Cash, Sydney S (2015) Streamlined, Inexpensive 3D Printing of the Brain and Skull. PLoS One 10:e0136198
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
Epstein-Peterson, Zachary D; Sullivan, Adam J; Enzinger, Andrea C et al. (2015) Examining Forms of Spiritual Care Provided in the Advanced Cancer Setting. Am J Hosp Palliat Care 32:750-7
Swanson, David M; Betensky, Rebecca A (2015) Research participant compensation: A matter of statistical inference as well as ethics. Contemp Clin Trials 45:265-9

Showing the most recent 10 out of 70 publications