Abstract

The Harvard University (HU) CFAR Biostatistics Core is a distributed Core, with offices at three sites: the Dana Farber Cancer Institute (DFCI), the Massachusetts General Hospital (MGH), and the Harvard School of Public Health (HSPH);these three locations provide services to all the HU CFAR institutions. The Biostatistics Core provides statistical collaboration and consultation for HIV-related laboratory, animal, clinical, and outcome studies to CFAR members and their trainees and to investigators who are new to HIV research. Broadly, the services of the biostatistics core include: design (including sample size calculations and analysis plans for all studies and database management for clinical studies), analysis of data (including model results and graphs), and training (in statistical methods, computer packages, and graphical illustration).

Public Health Relevance

The Biostatistics Core improves the efficiency of studies and prevents fatal design flaws. Another function of the Biostatistics Core is to analyze data for investigators who are not trained to do more complicated analyses or to check whether the assumptions of an analysis method are violated.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Center Core Grants (P30)
Project #
2P30AI060354-06
Application #
7685012
Study Section
Special Emphasis Panel (ZAI1-SV-A (J3))
Project Start
2009-08-11
Project End
2014-07-31
Budget Start
2009-07-01
Budget End
2010-07-31
Support Year
6
Fiscal Year
2009
Total Cost
$693,717
Indirect Cost

  Institution

Name
Harvard University
Department
Type
DUNS #
082359691
City
Cambridge
State
MA
Country
United States
Zip Code
02138

  Publications

Draz, Mohamed Shehata; Venkataramani, Manasa; Lakshminarayanan, Harini et al. (2018) Nanoparticle-enhanced electrical detection of Zika virus on paper microchips. Nanoscale 10:11841-11849
Muiru, Anthony N; Bibangambah, Prossy; Hemphill, Linda et al. (2018) Distribution and Performance of Cardiovascular Risk Scores in a Mixed Population of HIV-Infected and Community-Based HIV-Uninfected Individuals in Uganda. J Acquir Immune Defic Syndr 78:458-464
Dale, Sannisha K; Pierre-Louis, Catherine; Bogart, Laura M et al. (2018) Still I rise: The need for self-validation and self-care in the midst of adversities faced by Black women with HIV. Cultur Divers Ethnic Minor Psychol 24:15-25
Blass, Eryn; Aid, Malika; Martinot, Amanda J et al. (2018) Adenovirus Vector Vaccination Impacts NK Cell Rheostat Function following Lymphocytic Choriomeningitis Virus Infection. J Virol 92:
Dale, Sannisha K; Safren, Steven A (2018) Striving Towards Empowerment and Medication Adherence (STEP-AD): A Tailored Cognitive Behavioral Treatment Approach for Black Women Living With HIV. Cogn Behav Pract 25:361-376
Addison, Daniel; Lawler, Patrick R; Emami, Hamed et al. (2018) Incidental Statin Use and the Risk of Stroke or Transient Ischemic Attack after Radiotherapy for Head and Neck Cancer. J Stroke 20:71-79
Ojikutu, B O; Nnaji, C; Sithole-Berk, J et al. (2018) African born women living with HIV in the United States: unmet needs and opportunities for intervention. AIDS Care 30:1542-1550
Ojikutu, Bisola O; Bogart, Laura M; Higgins-Biddle, Molly et al. (2018) Facilitators and Barriers to Pre-Exposure Prophylaxis (PrEP) Use Among Black Individuals in the United States: Results from the National Survey on HIV in the Black Community (NSHBC). AIDS Behav 22:3576-3587
Martin-Gayo, Enrique; Cole, Michael B; Kolb, Kellie E et al. (2018) A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers. Genome Biol 19:10
Murray, Eleanor J; Robins, James M; Seage 3rd, George R et al. (2018) Using Observational Data to Calibrate Simulation Models. Med Decis Making 38:212-224

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