Core G - Biostatistics Core

节目摘要/摘要 核心G：生物统计学 用于艾滋病毒研究的数据在复杂性、数量和可获得性方面不断增加。这将使 研究人员调查了无数与艾滋病毒有关的问题，从分子到人口和政策层面， 而且往往同时在多个层面上。因此，生物统计学方法及其原则性应用 这是严谨、可重复的艾滋病毒研究的基础。Core G将为CFAR调查人员提供 研究设计、数据分析和数据背景解释所需的协作专业知识 严格的、可重复的研究需要，以促进关于艾滋病毒的科学知识。职权范围和 核心G教职员工的专业知识包括研究问题的框架、研究设计、抽样、 计算、数据分析(包括根据需要开发新方法)、数据管理和 在上下文中解释分析结果。CORE G将与艾滋病毒研究人员和受训人员合作并提供支持 通过实现以下具体目标：(1)向CFAR科学家提供广泛的生物统计合作， 重点是早期调查人员；(2)制定、实施和传播新的统计数据 满足CFAR科学家研究目标的方法；(3)通过以下方式提供持续的培训和指导 讲习班和1：1指导；(4)促进跨CFAR、跨计划和国际合作 艾滋病毒研究人员；以及(5)为分析和访问电子健康记录提供指导和支持 来自布朗和波士顿大学附属医院的数据。

PROGRAM SUMMARY/ABSTRACT CORE G: BIOSTATISTICS Data used for HIV research are constantly increasing in complexity, volume and availability. This enables researchers to investigate myriad questions related to HIV, from the molecular to the population and policy levels, and often at multiple levels at once. Biostatistical methods and their principled application are therefore fundamental to rigorous, reproducible HIV research. Core G will provide CFAR investigators with the collaborative expertise required for study design, data analysis, and contextual interpretation of data that are required for rigorous, reproducible research that advances scientific knowledge about HIV. The purview and expertise of Core G faculty and staff includes framing of research questions, study design, sampling, computation, data analysis (including development of new methods as needed), data management, and interpretation of analysis results in context. Core G will collaborate with and support HIV researchers and trainees by meeting the following Specific Aims: (1) providing wide-ranging biostatistical collaboration to CFAR scientists, with emphasis on early stage investigators; (2) developing, implementing and disseminating new statistical method to meet the research aims of CFAR scientists; (3) providing ongoing training and mentoring through workshops and 1:1 mentoring; (4) promoting cross-CFAR, cross-program and international collaborations with HIV researchers; and (5) providing guidance and support for analyzing and accessing electronic health records data from Brown- and BU-affiliated hospitals.