Academic Leadership Award for Statistical Training in Multidisciplinary Aging Research

摘要 老龄化研究越来越具有多学科性质，具有纵向研究设计和 广泛的数据收集，包括基因组、多组学和大型电子病历数据 除了传统的临床数据。这些增加了研究设计和数据维度的复杂性 在数据分析和结果解释方面，老年研究人员面临着特殊的挑战 和可重复的科学发现。我进行了独立的统计研究，还 在印第安纳州20年的职业生涯中，我与研究人员在衰老研究方面进行了广泛的合作 大学医学院。我还指导初级调查人员的K-应用程序，并指导 博士生的研究重点是老龄化研究中的统计方法。学术领导力 该奖项将为制定全面的统计培训计划提供支持，该计划包括 为老龄化研究中的医生和科学家量身定做的高级统计方法，并举例说明了使用 老龄化研究项目的案例研究。第一个目标是开发一种高级统计方法 老龄化研究课程，将提供全面、深入的现代统计学培训 适用于衰老研究的方法。第二个目标是提高印第安纳州的研究能力 通过提供数据资源和分析工具，从已完成和正在进行的老龄化研究到 支持二次数据分析和试点项目。第三个目标是提供个人指导，以 获得职业发展奖的初级调查人员。全面、稳健、先进的 统计培训计划将导致更好的研究设计，提高研究效率，更高 老龄化研究中的研究质量和可重复的科学发现。

Abstract Aging research studies are increasingly multidisciplinary in nature with longitudinal study design and extensive data collection including genomic, multi-omics, and large electronic medical records data in addition to traditional clinical data. These increased complexities in study design and data dimensionality present special challenges to aging researchers in data analyses and result interpretation for meaningful and reproducible scientific discoveries. I have conducted independent statistical research and have also collaborated extensively with investigators in aging research during my two-decades career at Indiana University School of Medicine. I have also mentored junior investigators on K-applications and directed Ph.D. students in research focused on statistical methods in aging research. The Academic Leadership Award will provide support for developing a comprehensive statistical training program that includes advanced statistical methods tailored to physicians and scientists in aging research and illustrated using case studies from aging research projects. The first aim is to develop an Advanced Statistical Methods in Aging Research curriculum that will provide comprehensive, in-depth training of modern statistical methods applicable to aging research. The second aim is to enhance research capacity at Indiana University by providing data resources and analytical tools from completed and ongoing aging studies to support secondary data analyses and pilot projects. The third aim is to provide individual mentoring to junior investigators for obtaining career development awards. A comprehensive, robust and advanced statistical training program will lead to better study design, increased research productivity, higher research quality and reproducible scientific discoveries in aging research.