权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Interdisciplinary Research Methods Core

跨学科研究方法核心

基本信息

批准号：
9886267
负责人：
Paul D Cleary
金额：
$ 25.04万
依托单位：
YALE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/9886267
关键词：
AIDS prevention Acquired Immunodeficiency Syndrome Address Alcohol or Other Drugs use Area Basic Science Behavioral Biometry Caring Communities Complex Computer software Consult Consultations Continuity of Patient Care Cost Effectiveness Analysis Cost-Benefit Analysis Data Data Analyses Development Educational workshop Ethnography Etiology Evaluation Focus Groups Fostering Geographic Information Systems Geography HIV Interdisciplinary Study Intervention Studies Machine Learning Mental Health Methodology Methods Modeling Monitor Network-based New England Operations Research Pathway Analysis Performance Play Population Process Public Health Schools Qualitative Methods Research Research Design Research Methodology Research Personnel Research Project Grants Respondent Role Sample Size Sampling Scientist Services Social Network Statistical Methods Stigmatization Structure Students Techniques Technology Training Work behavioral study behavioral/social science community based participatory research comorbidity complex data data management design efficacy research ethnographic method experience graph theory implementation research implementation science improved innovation interdisciplinary approach life history mathematical model meetings novel professor recruit skills social sound statistics therapy design urban area

项目摘要

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.

跨学科研究方法核心