Academic Leadership Award for Statistical Training in Multidisciplinary Aging Research

摘要 老龄化研究在性质上越来越多地涉及多学科，具有纵向研究设计， 广泛的数据收集，包括基因组学、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 对老龄化研究人员在数据分析和结果解释方面提出了特殊的挑战， 和可重复的科学发现。我进行了独立的统计研究， 我在印第安纳州工作了20年，在衰老研究方面与调查人员进行了广泛的合作 大学医学院。我还指导过初级调查员进行K-应用程序，并指导 博士研究生主要学习老龄化研究中的统计方法。学术领导 该奖项将为制定全面的统计培训计划提供支持，其中包括 先进的统计方法，专门为医生和科学家在老龄化研究和说明使用 老龄化研究项目的案例研究。第一个目标是开发一个先进的统计方法， 老龄化研究课程，将提供全面，深入的现代统计培训 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， 支持二级数据分析和试点项目。第三个目标是提供个人指导， 初级调查员获得职业发展奖。一个全面、强大和先进的 统计培训计划将导致更好的研究设计，提高研究生产力， 研究质量和可重复的科学发现在老龄化研究。

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.