Interdisciplinary Research Methods Core

跨学科研究方法核心 摘要 跨学科研究方法(IRM)核心提供尖端的分析和研究设计 支持CIRA和新英格兰艾滋病毒实施科学网络内的艾滋病毒研究人员。艾滋病病毒 研究需要复杂和创新的研究设计和方法。越来越多的人关注 实施科学(IS)，行为和生物医学方法的整合，以及艾滋病毒的研究 物质使用和精神健康等并存问题给设计和实施带来了挑战 艾滋病研究的最新进展。开发和应用统计方法来解决这些复杂性，并支持 CIRA对IS的重视是IRM核心的重点。鉴于CIRA对小城市研究的重视 与这些设置相关的领域和方法将被纳入IRM汇辑。这些区域构成了 挑战数据分析标准方法的统计问题，例如较小的样本量，高 数据缺失率、数据的地理聚集性和较小的社交网络规模。核心已经发展起来了 解决这些统计问题的方法，如开发强大的地理信息 系统(GIS)能力，应用贝叶斯技术进行缺失数据估计，强大的 受访者驱动抽样(RDS)，用于招募高度污名化和难以接触到的人群； 在创新信息系统设计(如智能设计、阶梯式楔形设计)、混合方法技术、 数学建模和成本效益分析，以及对因果关系建模的机器学习技术。这个 IRM Core将就信息系统和其他研究方法提供咨询和培训。核心将提供 就与艾滋病毒执行研究有关的核心概念进行深入和实用培训， 关于与以社区为基础的研究和信息系统有关的方法的会议，例如关于社会的研究 网络、地理空间信息研究、传播、分级护理和适应性治疗设计。这个 CORE还将在评估和分析新英格兰艾滋病毒执行工作方面发挥积极作用 由CIRA和其他人于2014年建立的科学网络。核心包括三个领域： 对信息系统至关重要的专门知识，包括：定量方法和生物统计学；定性方法和 人种学；运筹学和数学建模。特雷西·克肖博士，核心主管， 耶鲁大学公共卫生学院社会行为科学系教授兼主任，带来了20多个 多年从事艾滋病毒行为和干预研究的经验。罗素·巴伯博士，副研究员 主任，是一名受过生态研究培训的统计学家，具有多元和纵向统计方面的专业知识， 空间统计，基于图论的网络分析，以及先进的抽样技术。他将提供 数据分析、咨询服务和软件培训，并监督核心评估和监测。 其他贡献核心科学家将参加核心研讨会、磋商和会议。

INTERDISCIPLINARY RESEARCH METHODS CORE Abstract The Interdisciplinary Research Methods (IRM) Core provides cutting-edge analytical and research design support to HIV researchers at CIRA and within the New England HIV Implementation Science Network. HIV research requires complex and innovative research designs and methods. The increasing focus on Implementation Science (IS), the integration of behavioral and biomedical approaches, and the study of HIV comorbidities such as substance use and mental health, presents challenges to the design and implementation of HIV research. Developing and applying statistical methods to address these complexities and to support CIRA's emphasis on IS is the focus of the IRM Core. Given CIRA's emphasis on research in small urban areas, methods of relevance to these settings will be incorporated in the IRM repertoire. Such areas pose statistical problems that challenge standard approaches to data analysis such as smaller sample sizes, high rates of missing data, geographic clustering of data and smaller social network sizes. The Core has developed methods to address these statistical problems such as the development of a strong geographical information systems (GIS) capacity, application of Bayesian techniques for missing data estimation, strong capacity in respondent driven sampling (RDS) for recruitment of highly stigmatized and hard to reach populations, expertise in innovative IS designs (e.g., SMART designs, stepped wedge), mixed method techniques, mathematical modeling and cost benefit analyses, and machine learning techniques to model causality. The IRM Core will provide consultation on, and training on IS and other research methods. The Core will provide in-depth and practical training on central concepts associated with HIV implementation research, with sessions on methods that have relevance to community-based research and IS, such as research on social networks, geospatial information studies, dissemination, stepped care, and adaptive treatment designs. The Core will also play an active role in assessing and analyzing the work of the New England HIV Implementation Science Network that was established by CIRA and others in 2014. The Core comprises three areas of expertise that are essential to IS, including: Quantitative Methods and Biostatistics; Qualitative Methods and Ethnography; and Operations Research and Mathematical Modeling. Dr. Trace Kershaw, Core Director, Professor and Chair of Social Behavioral Sciences Department at Yale School of Public Health, brings over 20 years of experience conducting HIV behavioral and intervention studies. Dr. Russell Barbour, Associate Director, is a statistician trained in ecological studies with expertise in multivariate and longitudinal statistics, spatial statistics, graph theory based network analysis, and advanced sampling techniques. He will provide data analysis, consultation services, and software training, and oversee Core evaluation and monitoring. Other contributing Core scientists will participate in Core seminars, consultations, and meetings.