Biostatistics Core

生物统计学核心

• 批准号: 10442402
• 负责人: Heather Gwynn Allore
• 金额: $ 21.23万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-30 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10442402
• 关键词: Address; Aging; American; Applications Grants; Area; Biological; Biometry; Biostatistics Core; Capsicum; Characteristics; Clinical; Clinical Investigator; Clinical Trials; Collaborations; Consultations; Data; Data Analytics; Development; Documentation; Education; Elderly; Engineering; Ensure; Epidemiologist; Extramural Activities; Faculty; Funding; Gerontology; Goals; Grant; Health; Health Promotion; International; Knowledge; Leadership; Manuscripts; Measurement; Mediation; Medical; Mentors; Methodology; Methods; Mission; Modeling; Modification; Patients; Peer Review; Personal Satisfaction; Pharmacoepidemiology; Postdoctoral Fellow; Preparation; Procedures; Publications; Quality Control; Randomized; Reproducibility; Research; Research Design; Research Methodology; Research Personnel; Resource Allocation; Role; Sample Size; Services; Statistical Data Interpretation; Statistical Methods; Techniques; Time; Training; Work; cost; design; doctoral student; econometrics; epidemiology study; experimental study; innovation; insight; instrument; lectures; meetings; member; next generation; novel; operation; prevent; programs; sex; skills; translational study; web site

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.

生物统计学核心（BC）RC-2的总体目标是提供设计和分析服务 向OAIC研究人员进行多因素老年病的研究；开发和传播新的 设计和分析技术，用于与老年人进行研究；并训练一群临床干部 研究人员，生物统计学家和流行病学家设计，进行和分析所需的技能 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具有以下特定目的：1）与Pepper学者和其他Rec Traines合作，PES 调查人员，运营核心（RC-1）同事和外部项目的研究人员（EPS）实现 耶鲁大学的使命在促进对多因素老年病的理解和管理方面 状况; 2）开发新的严格方法来应对设计和分析的挑战 基础，翻译和临床老年/老化研究的研究，特别强调引入 严格的统计方法； 3）培训下一代的老年生物统计学家，流行病学家， 以及针对多因素研究的老年生物学生物统计研究方法的早期研究者 老年条件，例如，由于损耗而处理缺失数据的方法。 卑诗省的标准操作程序地址：1）丢失数据，2）可重复性，3）效果 修改和中介，4）实验设计，5）试验的进行，6）多样性，7）考虑性 作为生物学变量，8）分配和资源分配给耶鲁欧盟项目，9）心理， 10）数据和分析程序的文档，以及11）统计结果的发表。 卑诗省对OAIC和EPS的协作和服务包括：1）设计授予准备 临床试验以及基本，翻译和流行病学研究，包括样本量估计， 随机化以及预防或减少遗漏数据的策略； 2）有关测量工具的咨询； 3）确保严格和可重复分析的质量控制程序； 4）统计分析； 5）研究结果以统计责任和临床有意义的摘要方式的解释结果， 手稿和演讲，通常带有专业人物； 6）方法论发展和新颖 与多因素老年病的研究相关的其他领域的方法的应用；和 7）初级研究人员在老年生物统计学中的教育，心理和培训。提议 BioStatistics Core的开发项目（DP-2），重点是随着时变效果的应用 衰老研究中的建模（TVEM）具有创新性，因为（TVEM）很少用于衰老研究。 这些纵向TVEM模型可以为了解老年人的健康做出重要贡献 通过数值和图形显示患者或临床特征的影响如何智能变化 时间。 DP-2还将提供有关如何与TVEM一起使用的严格缺失数据方法的新见解。