This ongoing training program prepares graduate students and postdoctoral fellows for biostatistical and epidemiological research directed against the HIV epidemic. The program emphasizes strong training in statistical methodology, epidemiology, and related biologic areas. Students majoring in Biostatistics minor in Epidemiology and vice versa. Both have a second minor in a related field such as virology, biology, health policy, population sciences, or behavioral science. The overall objective of the training program is to combine strong methodologic training with an extensive practical exposure to relevant problems and an introduction to specialized research on problems important to combating the HIV epidemic. The presence of expertise in virology, microbiology, and health care issues at the School adds to the unique environment for this training program. The Biostatistics and Epidemiology faculties are extensively involved in methodologic and collaborative research in HIV-related problems. Members of the Biostatistics Department form the Statistical Center for the AIDS Clinical Trials Group within the Center for Biostatistics in AIDS Research, and are the Core Biostatistics Center for the Harvard AIDS Institute. Members of the Departments of Epidemiology and Biostatistics are jointly involve din epidemiological studies in Mexico, Greece, and Japan as well as the national AIDS research program. This provides the trainees with a very rich environment to pursue their research. To facilitate student participation in these research activities, the Department of Biostatistics sponsors faculty-student """"""""working groups"""""""" which meet biweekly to discuss ongoing research. During the 1998-1999 academic year, there are separate working groups in the areas of Bayesian methodology, computing, environmental statistics, nutrition research, genetic epidemiology, HIV, longitudinal data, measurement error, psychiatric biostatistics, quantitative issues, cancer research, risk and decision analysis, semi-parametric methods in biostatistics, statistical issues is new drug development, and statistical methods in epidemiology. Experience in the last ten years has taught us what motivates the students to engage in interesting and useful training and research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Institutional National Research Service Award (T32)
Project #
5T32AI007358-14
Application #
6510251
Study Section
Acquired Immunodeficiency Syndrome Research Review Committee (AIDS)
Program Officer
Sharma, Opendra K
Project Start
1989-09-01
Project End
2004-05-31
Budget Start
2002-06-01
Budget End
2003-05-31
Support Year
14
Fiscal Year
2002
Total Cost
$292,314
Indirect Cost
Name
Harvard University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02115
Mattie, Heather; Engø-Monsen, Kenth; Ling, Rich et al. (2018) Understanding tie strength in social networks using a local ""bow tie"" framework. Sci Rep 8:9349
Lok, Judith J; Yang, Shu; Sharkey, Brian et al. (2018) Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms. Lifetime Data Anal 24:201-223
Correia, Katharine; Williams, Paige L (2018) Estimating the Relative Excess Risk Due to Interaction in Clustered-Data Settings. Am J Epidemiol 187:2470-2480
Marino, Miguel; Pagano, Marcello (2018) Role of survey response rates on valid inference: an application to HIV prevalence estimates. Emerg Themes Epidemiol 15:6
Hermetet-Lindsay, Katrina D; Correia, Katharine F; Williams, Paige L et al. (2017) Contributions of Disease Severity, Psychosocial Factors, and Cognition to Behavioral Functioning in US Youth Perinatally Exposed to HIV. AIDS Behav 21:2703-2715
Lee, Kennedy-Shaffer (2017) When the Alpha is the Omega: P-Values, ""Substantial Evidence,"" and the 0.05 Standard at FDA. Food Drug Law J 72:595-635
Balzer, Laura; Staples, Patrick; Onnela, Jukka-Pekka et al. (2017) Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing test-and-treat trial. Clin Trials 14:201-210
Zheng, Yu; Cai, Tianxi (2017) Augmented estimation for t-year survival with censored regression models. Biometrics 73:1169-1178
Fulcher, Isabel R; Tchetgen Tchetgen, Eric J; Williams, Paige L (2017) Mediation Analysis for Censored Survival Data Under an Accelerated Failure Time Model. Epidemiology 28:660-666
Correia, Katharine; Williams, Paige L (2017) A hierarchical modeling approach for assessing the safety of exposure to complex antiretroviral drug regimens during pregnancy. Stat Methods Med Res :962280217732597

Showing the most recent 10 out of 97 publications