Biostatistics Data Analysis Core

生物统计设计和分析核心(生物统计设计和分析核心)于#年第一个供资周期的第3年建立。 对用户调查的答复，这些调查表示强烈需要健全和有效的生物统计专门知识和 资源支持。BDAC的总体目标是提供数据管理和生物统计资源以及 促进最佳统计做法的专门知识；并促进功能促进疗法的开发 通过研究和培训生物医学和数据科学家致力于老龄化研究。BDAC 活动旨在实现三个相辅相成的具体目标：(1)提供严格、安全和 向OAIC项目提供全面的生物统计和数据管理支持。(二)进行小说申遗 与伊斯兰会议组织倡议相一致的方法学研究，重点是进行干预试验 以及FPTS中的翻译研究。(3)确保研究设计和数据分析方面的严格培训 临床和定量科学家，重点是体力丧失的流行病学和治疗 在衰老中起作用。 BDAC的杰出领导在临床试验、观察性研究、 实验设计、多变量分析、因果推断、统计遗传学、图形数据显示以及 缺少数据，并且在数据科学团队的领导方面经验丰富。核心由托马斯·特拉维森领导， 博士(核心领导者)，生物统计学家和翻译研究员，具有15年的设计和 老龄化临床研究分析；拉尔夫·达戈斯蒂诺博士(核心联合领导者)，国际 在临床试验设计、观察性研究和比较有效性研究方面的公认领导者；以及 国际公认的统计遗传学家保拉·塞巴斯蒂亚尼博士说。 核心人员与OAIC生物医疗公司保持积极和高效的协作关系 研究人员，以及在独立和与盟国科学家合作的研究项目中的领导力。 此外，BDAC还为OAIC提供了动态指导、协作和同行支持的关键场所 调查人员和受训人员通过其互动方法讲习班和系列研讨会、咨询服务、 以及核心人员与OAIC附属科学家和医生之间的持续互动。这个 BDAC在其运营中嵌入了持续的创新；这种创新的例子包括 BDAC生物统计学家为行动不便和心脏代谢障碍开发的风险评分算法 老年人口中的疾病；与耶鲁大学和维克森林大学的OAIC附属生物统计学家合作 大学为实用的整群随机试验设计新的随机方案；以及 在发展项目中开发新的和综合的联网工具，以加强 科学发现的可复制性和再现性。因此，BDAC是波士顿奥运会的关键贡献者 OAIC的杰出成功记录。

The Biostatistical Design and Analysis Core (BDAC) was established in year 3 of the first funding cycle in response to user surveys which expressed a strong need for sound and efficient biostatistical expertise and resource support. The overall aims of BDAC are to provide data management and biostatistical resources and expertise to promote best statistical practices; and to facilitate the development of function-promoting therapies through research and the training of biomedical and data scientists committed to aging research. BDAC activities are directed toward the three mutually reinforcing Specific Aims: (1) To provide rigorous, secure and comprehensive biostatistical and data management support to OAIC projects. (2) To conduct novel applied and methodologic research aligned with the OAIC initiatives, with emphasis on conduct of intervention trials and translational research in FPTs. (3) To insure rigorous training in research design and data analysis of clinical and quantitative scientists, with emphasis on the epidemiology and treatment of loss of physical function in aging. The BDAC's outstanding leadership has substantial expertise in clinical trials, observational studies, experimental design, multivariate analysis, causal inference, statistical genetics, graphical data display, and missing data, and is seasoned in the leadership of data science teams. The Core is led by Thomas Travison, PhD (Core Leader), a biostatistician and translational researcher with 15 years' experience in the design and analysis of clinical studies in aging; and Ralph D'Agostino, PhD (Core Co-Leader), an internationally recognized leader in clinical trials design, observational studies, and comparative effectiveness research; and Paola Sebastiani, Ph.D., an internationally recognized statistical geneticist. Core personnel maintain active and highly productive collaborative relationships with OAIC biomedical investigators, as well as leadership in independent and collaborative research programs with allied scientists. In addition, the BDAC provides key venues for dynamic mentoring, collaboration and peer support for OAIC investigators and trainees through its interactive methods workshop and seminar series, consultative services, and the continual interaction between Core personnel and OAIC-affiliated scientists and physicians. The BDAC has embedded continuous innovation in its operations; examples of this innovation include the novel risk scoring algorithms developed by the BDAC biostatisticians for mobility disability and cardiometabolic illnesses in older populations; collaborative work with OAIC-affiliated biostatisticians at Yale and Wake Forest universities in designing novel randomization schemes for pragmatic cluster-randomized trials; and the development of novel and integrated web-enabled tools in the developmental project, which enhance the replicability and reproducibility of scientific findings. The BDAC is therefore a key contributor to the Boston OAIC's outstanding record of success.