Biostatistics and Data Management Resource Core

摘要 生物统计和数据管理（BDM）核心将在国际乌干达 俄罗斯波士顿酒精网络艾滋病毒/艾滋病酒精研究合作中心（URBAN ALGORITHM）作为一个 研究设计、实施、数据管理和统计分析的全面合作者。的首要目标 BDM的核心是促进长期开展严格的、可重复的和创新的酒精/艾滋病毒研究 research.在接下来的五年里，BDM核心将与国际城市规划委员会密切合作， 通过为两个研究项目提供统计专业知识和有效的数据管理， 重点是了解酒精使用对结核病感染、活动性疾病和结核病后肺部疾病的作用 艾滋病毒感染者的治疗，以加快未来干预措施的发展 这可以减少酒精对艾滋病毒携带者结核病相关发病率和死亡率的影响。BDM核心将 在研究的所有阶段提供统计和数据管理领导，以确保数据的高标准 质量和统计分析。BDM核心汇集了一个经验丰富的研究人员团队， 有资格支持国际城市规划中心，基于他们对基础知识的广泛了解 与酒精、艾滋病毒和结核病相关的科学和临床问题，以及它们长期的富有成效的合作历史 与城市调查员。有了这个专用的BDM核心， 促进科学发现的有效性和普遍性，促进数据共享， 最终提高对酒精对艾滋病毒携带者结核病感染谱的影响的认识。

ABSTRACT The Biostatistics and Data Management (BDM) Core will play a pivotal role in the International Uganda Russia Boston Alcohol Network for Alcohol Research Collaboration on HIV/AIDS (URBAN ARCH) Center as a full collaborator in study design, conduct, data management and statistical analyses. The overarching goal of the BDM Core is to facilitate the long-term conduct of rigorous, reproducible and innovative alcohol/HIV research. Over the next five years, the BDM Core will collaborate closely with International URBAN ARCH Center investigators by providing statistical expertise and effective data management to two research projects focused on understanding the role of alcohol use on TB acquisition, active disease, and lung disease after TB treatment among persons living with HIV (PLWH) in order to accelerate the future development of interventions that can reduce alcohol’s impact on TB-related morbidity and mortality among PLWH. The BDM Core will provide statistical and data management leadership in all phases of research to ensure high standards for data quality and statistical analyses. The BDM Core brings together an experienced team of investigators uniquely qualified to support the International URBAN ARCH Center based on their extensive knowledge of underlying scientific and clinical issues relevant to alcohol, HIV, and TB, and their long history of productive collaboration with URBAN ARCH investigators. Having this dedicated BDM Core will enhance the synergy and productivity of investigators, promote the validity and generalizability of the scientific findings, promote data sharing, and ultimately elevate the understanding of the impact of alcohol on the spectrum of TB infection among PLWH.