Biostatistics Core

生物统计核心(BC)RC-2的总体目标是提供设计和分析服务 向OAIC调查人员进行多因素老年病的研究；开发和传播新的 对老年人进行研究的设计和分析技术；以及培训临床干部 研究人员、生物统计学家和流行病学家掌握必要的设计、实施和分析技能 老年学研究。卑诗省为耶鲁大学提供最先进的研究设计和生物统计学专业知识 OAIC的具体目标如下：1)与胡椒学者和其他REC学员合作，PES 调查员、业务核心(RC-1)同事和外部项目(EP)调查员以实现 耶鲁大学OAIC在促进对多因素老年病的理解和管理方面的使命 条件；2)开发新的和严格的方法，以应对设计和分析的挑战 基础研究、翻译研究和临床老年研究，特别强调介绍 严格的统计方法；3)培养下一代老年生物统计学家、流行病学家、 老年生物统计学研究方法的早期研究人员，专门用于多因素研究 老年条件，例如，处理因磨损而丢失的数据的方法。 BC的标准操作程序涉及：1)丢失数据，2)重复性，3)效果 修改和调解，4)实验设计，5)进行试验，6)多样性，7)性别考量 作为生物变量，耶鲁OAIC项目的任务和资源分配、指导、 10)数据和分析程序的文件编制，以及11)统计结果的公布。 BC对OAIC和EP的合作和服务包括：1)设计赠款准备 临床试验和基础、翻译和流行病学研究，包括样本量估计， 随机化，防止或减少丢失数据的策略；2)关于测量仪器的咨询； 3)确保分析严谨和可重复性的质量控制程序；4)统计分析； 5)以对统计负责和临床有意义的方式对摘要的研究结果进行解释， 手稿和演示文稿，通常带有专门的数字；6)方法的发展和小说 应用与多因素老年疾病研究有关的其他领域的方法；以及 7)对老年生物统计学的初级研究人员进行教育、指导和培训。建议数 生物统计核心的开发项目(DP-2)，重点是时变效应的应用 老龄化研究中的建模(TVEM)具有创新性，因为TVEM在老龄化研究中的应用很少。 这些纵向TVEM模型可以为了解老年人的健康做出重要贡献 通过数字和图形显示患者或临床特征的影响如何在 时间到了。DP-2还将提供关于如何将严格的缺失数据方法用于TVEM的新见解。

The overarching goals of the Biostatistics Core (BC), RC-2, are to provide design and analytical services to OAIC investigators conducting studies of multifactorial geriatric conditions; to develop and disseminate new design and analytical techniques for conducting studies with older persons; and to train a cadre of clinical investigators, biostatisticians, and epidemiologists in the skills necessary to design, conduct, and analyze gerontologic studies. The BC provides state-of-the-art research design and biostatistical expertise for the Yale OAIC with the following specific aims: 1) to collaborate with Pepper Scholars and other REC trainees, PES investigators, Operations Core (RC-1) colleagues, and investigators of External Projects (EPs) to achieve the mission of the Yale OAIC in promoting the understanding and management of multifactorial geriatric conditions; 2) to develop new and rigorous methods that address the challenges of designing and analyzing studies in basic, translational, and clinical geriatric/aging research, with special emphasis on introducing rigorous statistical methods; and 3) to train the next generation of gerontologic biostatisticians, epidemiologists, and early-stage investigators in Gerontologic Biostatistics research methods specific to studies of multifactorial geriatric conditions, e.g., methods for handling missing data due to attrition. The BC’s standard operating procedures address: 1) missing data, 2) reproducibility, 3) effect modification and mediation, 4) design of experiments, 5) conduct of trials, 6) multiplicity, 7) consideration of sex as a biological variable, 8) assignments and resource allocation to Yale OAIC projects, 9) mentoring, 10) documentation of data and analytical procedures, and 11) publication of statistical results. The BC’s collaboration and services to the OAIC and EPs include: 1) design for grant preparation of clinical trials and basic, translational, and epidemiological studies, including sample size estimation, randomization, and strategies to prevent or reduce missing data; 2) consultation on measurement instruments; 3) quality control procedures for ensuring rigor and reproducible analyses; 4) statistical analyses; 5) interpretation of study results in statistically responsible and clinically meaningful ways for abstracts, manuscripts, and presentations, often with specialized figures; 6) methodological development and novel application of methods from other fields relevant to the study of multifactorial geriatric conditions; and 7) education, mentoring, and training of junior investigators in Gerontologic Biostatistics. The proposed Biostatistics Core’s Development Project (DP-2), which focuses on the application of time-varying effects modeling (TVEM) in aging research, is innovative because (TVEM) has rarely been used in aging research. These longitudinal TVEM models can make important contributions to understanding the health of older adults by numerically and graphically showing how the effects of patient or clinical characteristics vary intensely over time. DP-2 will also provide new insights about how rigorous missing data methods can be used with TVEM.