A5: BIOSTATISTICS AND DATA MANAGEMENT FACILITY

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。由Jimmy Efird博士领导的生物统计和数据管理设施（BDMF）成立于2004年初，其主要使命是为RCMI研究人员提供一系列定制的统计和数据库管理服务。然而，该设施是UH系统中唯一的同类设施，它已迅速扩展到约翰A。伯恩斯医学院，生物医学工程和热带医学。BDMF的总体目标是为研究人员提供必要的定量资源，以及时，经济有效的方式进行严格的生物医学研究。重点的具体领域是临床试验设计和分析，实验/实验室研究设计和分析，计算统计和数据库管理，统计培训和图像分析/建模。该基金的工作人员与研究人员密切合作，为其研究制定合理的设计，确定最佳样本量，并制定反映其研究设计和具体目标的连贯一致的数据分析计划。一旦研究提案获得机构审查委员会批准，将在研究随机化、数据库开发、SAS编程、统计分析、科学图表、研究后数据分析以及撰写论文以供发表和修订提交方面提供进一步帮助。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Biostatistics and Data Management Facility (BDMF), directed by Dr. Jimmy Efird, was established early in 2004 with the primary mission to provide a range of customized statistical and database management services for RCMI researchers. This facility is the only one of its kind in the UH System, however, and it has rapidly extended services to other biomedical researchers and clinicians in the John A. Burns School of Medicine, Biomedical Engineering, and Tropical Medicine. The overall goal of the BDMF is to provide quantitative resources essential for investigators to conduct methodologically rigorous biomedical research in a timely, cost-effective manner. The specific areas of focus are clinical trials design and analysis, experimental/laboratory research design and analysis, computational statistics and database management, statistical training, and image analysis/modeling. The staff members of the Facility work closely with investigators to develop a sound design for their studies, determine an optimal sample size, and develop a coherent data analysis plan that reflects their study design and specific aims. Once a study proposal has been approved by the Institutional Review Board, further assistance is provided in study randomization, database development, SAS programming, statistical analysis, scientific graphics, post-study data analysis, as well as in the writing of papers for publication and revised submission.