Biostatistics Data Analysis Core

生物统计学数据分析核心

• 批准号: 9301433
• 负责人: Thomas Glenn Travison
• 金额: $ 18.96万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9301433
• 关键词: Aging; Algorithms; Biometry; Boston; Clinical; Clinical Research; Clinical Trials; Clinical Trials Design; Cluster randomized trial; Collaborations; Consultations; Data; Data Analyses; Data Display; Data Science; Development; Doctor of Philosophy; Educational workshop; Endocrinology; Epidemiology; Experimental Designs; Faculty; Funding; Genetic; Goals; Human Resources; Information Management; Institution; International; Intervention Trial; Investigation; Leadership; Mentors; Methodology; Methods; Mission; Multivariate Analysis; Observational Study; Older Population; Physical Function; Physicians; Practice Management; Procedures; Process; Public Health Schools; Publications; Randomized; Reproducibility; Research; Research Activity; Research Design; Research Methodology; Research Personnel; Research Project Grants; Research Training; Resource Informatics; Resources; Risk; Safety; Scheme; Scientist; Seasons; Secure; Series; Services; Surveys; Training; Training Activity; Training and Education; Translational Research; Universities; Work; biomedical scientist; comparative effectiveness; data management; design; disability; effectiveness research; epidemiology study; experience; forest; improved; innovation; medical schools; member; novel; operation; peer coaching; peer support; programs; randomized trial; response; sound; success; therapeutic development; tool; translational approach; translational scientist; web-enabled

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.

生物统计设计和分析核心 (BDAC) 于第一个资助周期的第三年建立 对用户调查的回应，这些调查表明强烈需要健全和有效的生物统计专业知识， 资源支持。 BDAC 的总体目标是提供数据管理和生物统计资源， 促进最佳统计实践的专业知识；并促进功能促进疗法的开发 通过研究和培训致力于衰老研究的生物医学和数据科学家。 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 为 OAIC 项目提供全面的生物统计和数据管理支持。 （二）开展新颖应用 与 OAIC 倡议一致的方法学研究，重点是进行干预试验 以及 FPT 的转化研究。 (3) 确保对研究设计和数据分析进行严格的培训 临床和定量科学家，重点是流行病学和身体丧失的治疗 具有抗衰老的功能。 BDAC 的杰出领导层在临床试验、观察性研究、 实验设计、多变量分析、因果推理、统计遗传学、图形数据显示和 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 Thomas Travison 领导， 博士（核心领导者），生物统计学家和转化研究员，拥有 15 年的设计和研究经验 衰老临床研究分析；和 Ralph D'Agostino 博士（核心联合领导者），一位国际 临床试验设计、观察性研究和比较有效性研究领域公认的领导者；和 Paola Sebastiani 博士，国际公认的统计遗传学家。 核心人员与OAIC生物医学保持活跃且高效的合作关系 研究人员，以及与联合科学家的独立和合作研究项目的领导。 此外，BDAC 还为 OAIC 提供动态指导、协作和同行支持的重要场所 通过其互动方法讲习班和研讨会系列、咨询服务、 核心人员与 OAIC 附属科学家和医生之间的持续互动。这 BDAC 在其运营中融入了持续创新；这种创新的例子包括小说 BDAC 生物统计学家针对行动障碍和心脏代谢开发的风险评分算法 老年人群的疾病；与耶鲁大学和维克森林大学 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颖的随机方案；和 在开发项目中开发新颖且集成的网络工具，从而增强 科学发现的可复制性和再现性。因此，BDAC 是波士顿计划的主要贡献者 OAIC 的杰出成功记录。