The purpose of the Administrative and Biostatistics Core (Core A) is to coordinate the administrative and fiscal activities of the PPG, to provide biostatistics support for all of the Projects, and to ensure rigorous experimental design and data analysis for all the Projects. Dr. Linton will provide oversight for all functions of Core A. Mr. Nicholas Jenkins, Grants Manager, will work closely with Dr. Linton to provide fiscal oversight and management of the budgetary aspects of the PPG?s Projects and Cores, including compliance with institutional policy and implementation of grant policy for post award management. Mr. Jenkins will assist with budgets related to grant submissions, including competing and noncompeting renewals. Ms. Lawrence will oversee the financial aspects of the administration of the budget. She will supervise and coordinate communication with the Grants Manager and the Administrative Officer. Maria Peng, Administrative Officer, will prepare monthly budget statements for the Projects and Cores for the Investigators. She will be responsible for PPG reports and administration of finances for the service Cores and the Projects. Ms. Lawrence and Ms. Bartkus, the administrative assistant, will be jointly responsible for generating purchase orders for equipment and reagents for all of the PPG Projects and Cores, and for expenditure reconciliation. Ms. Bartkus will also help with arranging the monthly meetings of PPG Project Leaders, investigators and Core Leaders, organize seminars, meetings with advisors and handle PPG related travel. She will ensure that all human subject and animal use documentation is current. The Biostatistics portion of Core A will provide statistical expertise for all projects and investigators to ensure rigor and reproducibility for all PPG projects. Drs. Ye and Du will continue to work closely with project leaders and will be available to all PPG investigators to provide state-of-the-art statistical support. To ensure statistical reproducibility, for each PPG-associated analysis performed, a statistical report in HTML or PDF format will be generated, which will document the R programming codes and any simulation seeds used in the analysis. Additionally, all model development procedures will be internally validated using cross-validation or bootstrap methods. The Biostatistics Core supports all 4 Projects. Bioinformatics support will be provided in Core D: The Non-Coding RNA and Bioinformatics Core.
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