BIOSTATISTICAL SUPPORT UNIT The Biostatistical Support Unit (BSU) is one of the multi-user core research facilities currently supported by the National Institutes of Health-RCMI Center for Environmental Health at Jackson State University (JSU). In recent years, the BSU has significantly contributed to the success of the RCMI Program at JSU, by providing RCMI investigators with capabilities in biostatistics, applied environmental statistics, statistical computing, and database and information management. The impact of the BSU on the RCMI Program is evidenced by thirty two peer-reviewed publications and seven doctoral research dissertations over the past 5 years. Also, the BSU currently supports fourteen research projects conducted by faculty and students in the College of Science, Engineering and Technology. This Unit has also worked closely with the Pis of the four pilot projects that are included in the RCMI grant renewal application;by ensuring that the study designs are adequate, including the development of study hypotheses, the identification of research end-points, the determination of experimental groups, control groups and sample sizes, and the use of appropriate statistical tests. It is also anticipated that the BSU will provide advice in data collection, analysis and interpretation, as well as in data management and publication. The overarching goals of the BSU 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. Therefore, the specific aims of the BSU are: 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;and 6) To collaborate with the RTRN-Data Technology Coordinating Center leverage resources for a more efficient design of experiments and protocols, and management of data generated from T1 and T2 translational research.

National Institute of Health (NIH)
National Center for Research Resources (NCRR)
Research Centers in Minority Institutions Award (G12)
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Special Emphasis Panel (ZRR1-RI-1 (01))
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Jackson State University
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United States
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Denmark, Iris S; Begu, Ermira; Arslan, Zikri et al. (2018) Removal of inorganic mercury by selective extraction and coprecipitation for determination of methylmercury in mercury-contaminated soils by chemical vapor generation inductively coupled plasma mass spectrometry (CVG-ICP-MS). Anal Chim Acta 1041:68-77
Arslan, Zikri; Oymak, Tulay; White, Jeremy (2018) Triethylamine-assisted Mg(OH)2 coprecipitation/preconcentration for determination of trace metals and rare earth elements in seawater by inductively coupled plasma mass spectrometry (ICP-MS). Anal Chim Acta 1008:18-28
White, Jeremy; Çelik, Ahmet; Washington, Robert et al. (2018) Sequential coprecipitation and matrix removal for determination of cadmium impurities from multivitamin supplements by inductively coupled plasma mass spectrometry and method validation by isotope dilution analysis of SRM 3280 multivitamin/multielement ta Microchem J 139:242-249
Rhaman, Md Mhahabubur; Hasan, Mohammad H; Alamgir, Azmain et al. (2018) Highly selective and sensitive macrocycle-based dinuclear foldamer for fluorometric and colorimetric sensing of citrate in water. Sci Rep 8:286
Johnson, Martha; Ates, Mehmet; Arslan, Zikri et al. (2017) Assessment of Crystal Morphology on Uptake, Particle Dissolution, and Toxicity of Nanoscale Titanium Dioxide on Artemia salina. J Nanotoxicol Nanomed 2:11-27
Portis, Bobby; Mirchi, Ali; Emami Khansari, Maryam et al. (2017) An Ideal C3-Symmetric Sulfate Complex: Molecular Recognition of Oxoanions by m-Nitrophenyl- and Pentafluorophenyl-Functionalized Hexaurea Receptors. ACS Omega 2:5840-5849
Antwi-Boasiako, Afua A; Dunn, Derrick; Dasary, Samuel S R et al. (2017) Bioconjugated graphene oxide-based Raman probe for selective identification of SKBR3 breast cancer cells. J Raman Spectrosc 48:1056-1064
Sweet, Carrie; Pramanik, Avijit; Jones, Stacy et al. (2017) Two-Photon Fluorescent Molybdenum Disulfide Dots for Targeted Prostate Cancer Imaging in the Biological II Window. ACS Omega 2:1826-1835
Kaya, Hasan; Duysak, Müge; Akbulut, Mehmet et al. (2017) Effects of subchronic exposure to zinc nanoparticles on tissue accumulation, serum biochemistry, and histopathological changes in tilapia (Oreochromis niloticus). Environ Toxicol 32:1213-1225
Yilmaz, Vedat; Yilmaz, Hayriye; Arslan, Zikri et al. (2017) Novel Imprinted Polymer for the Preconcentration of Cadmium with Determination by Inductively Coupled Plasma Mass Spectrometry. Anal Lett 50:482-499

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