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 OAIC调查人员进行多因素老年疾病研究;开发和传播新的 设计和分析技术，以便对老年人进行研究;并培训一批临床 研究人员，生物统计学家和流行病学家在设计，实施和分析所需的技能 老年学研究BC为耶鲁大学提供最先进的研究设计和生物统计专业知识。 OAIC有以下具体目标：1）与胡椒学者和其他REC学员合作，PES 调查人员、运营核心（RC-1）同事和外部项目（EP）调查人员，以实现 耶鲁大学OAIC在促进多因素老年医学的理解和管理方面的使命 条件; 2）开发新的和严格的方法，以解决设计和分析的挑战 基础，转化和临床老年/老龄化研究的研究，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者， 老年病，例如，处理因流失而缺失数据的方法。 BC的标准操作规程解决：1）缺失数据，2）重现性，3）影响 修改和调解，4）实验设计，5）试验实施，6）多重性，7）性别考虑 作为一个生物变量，8）耶鲁OAIC项目的任务和资源分配，9）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。 不列颠哥伦比亚省与国际移民局和环境保护机构的合作和服务包括： 临床试验和基础、转化和流行病学研究，包括样本量估计， 随机化，以及防止或减少缺失数据的策略; 2）测量工具的咨询; 3)质量控制程序，以确保严格和可重复的分析; 4）统计分析; 5)以统计学上可靠和临床上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，通常有专门的数字; 6）方法的发展和新颖的 应用与多因素老年病研究相关的其他领域的方法;以及 7)教育，指导和培训老年生物统计学的初级研究人员。拟议 生物统计学核心发展项目（DP-2），侧重于时变效应的应用 老化研究中的模型（TVEM）是创新的，因为（TVEM）很少用于老化研究。 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.