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December 2014
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Biostatistical Support Unit

Dr. H. Anwar Ahmad
Faculty Manager
Ph: (601)979-4048
hafiz.a.ahmad@jsums.edu
 

Ms. Luma Akil
Lab Technician
Ph: (601) 979-0261
luma.akil@jsums.edu

 
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Facility Overview

Applied statistical methodologies and data analysis techniques are critical under-girding factors in research and knowledge advancement. Appropriate experimental design lays foundation of sound research plans; sample size determines the power of significance and efficient utilization of scarce resources; and adequate data analysis generate results that are valid and true representative of the population in question. The Biostatistical Support Unit (BSU) provides statistical services and research support to RCMI investigators, other faculty, as well as to graduate and undergraduate students. BSU serves as a centralized resource for statistical expertise and data management services for current and future biomedical scientists at JSU. Its overarching goals are to: a) strengthen its biomedical research infrastructure; b) provide all aspects of bio-statistical services to RCMI investigators; and c) foster interdisciplinary research collaborations among these investigators and their peers at JSU and other institutions of higher learning. 

Specific Aims

  1. To enhance the existing biostatistics-related infrastructure by acquiring new hardware and software.

  2. To provide expertise for the planning, conduct, analysis and reporting of experiments on health effects of environmental compounds, experiments on therapeutic properties of anti-cancer drugs, clinical trials, epidemiologic and population based studies, and ecological studies.

  3. To provide advice for the efficient and accurate database design and management of experimental, clinical, epidemiology, and/or ecologic research data.

  4. To provide expertise for scientific computing for data analysis and scientific graphics.

  5. To train RCMI investigators and students in the areas of study design, data collection, computerization, and statistical methods for laboratory, clinical, population-based, and/or ecological studies.

  6. To collaborate with the RTRN-Data Technology Coordinating Center, and leverage resources for a more efficient design of experiments and protocols, and management of data generated from T1 and T2 translational research.

Current BSU Resources

  1. 10 Dell Pentium workstations loaded with: SAS 9.1, Minitab 14, Mathematica 4, and SPSS 11 softwares

  2. Within the PC version of the SAS System, several options are available including, but not limited to:

    1. SAS /STAT: a wide range of statistical applications for data analysis and estimation.

    2. SAS /IML: a multi-level interactive programming language with matrices.

    3. SAS /FSP: an interactive menu-driven facility for data entry, retrieval, and editing.

    4. SAS /GRAPH: a color graphics device.

    5. SAS/GIS: an interactive geographic information System.

    6. SAS /TUTOR: for online training of SAS System users

    7. SAS /ASSIST: a menu-driven user interface to the SAS System.

  3. Laser printer to help with printing SAS output

  4. A small library with statistical reference books and manuals