Core 2: Data Analysis Core (Analysis Core)

项目摘要 数据分析核心支持本研究的四个研究项目的科学目标 主要通过项目计划数据管理和统计分析服务.在这个角色中，通过 与设计和优化核心和其他计划项目调查人员合作，数据分析 核心将管理所有计划项目数据，并将应用和解释各种统计技术， 分析研究项目数据，以支持优化医疗保健系统的发展 综合慢性护理吸烟治疗计划（CCCSTOP）。提供的服务 分析核心包括：1）清理、准备、记录和共享研究项目数据， 随后的统计分析; 2）进行统计分析，以解决主要和次要目标 与四个研究项目相关，包括关键二元和连续结果的建模， 与所研究的干预成分的主要和相互作用效应的关系， 和逻辑回归模型; 3）开发和应用统计技术来综合结果 多阶段优化战略（MOST）的筛选阶段 方法; 4）实施成本效益分析，以评估治疗结果， 5）对定性和定量数据进行分析，以帮助 实施项目调查人员在评估干预措施的范围，功效，采用， 实施和维护（RE-AIM模型）;以及6）与项目和核心协调和咨询 领导者制定分析计划，确保分析解决临床和实质性重要问题 研究目标，并协助解释所获得的结果。数据分析核心的成员将举行会议 定期与研究者一起确保研究计划实施的科学完整性，监测和 讨论总体进度以及具体项目需求，并就优先级做出决定， 由数据分析核心提供的资源分配。

Project Summary The Data Analysis Core supports the scientific objectives of the four research projects of this Research Program Project primarily through data management and statistical analysis services. In this role, and through collaboration with Design and Optimization Core and other Program Project investigators, the Data Analysis Core will manage all Program Project data and will apply and interpret a variety of statistical techniques for analyzing research project data to support the development of an optimized healthcare system smoking program (the Comprehensive Chronic Care Smoking Treatment Program: CCCSTOP). Services provided by the Analysis Core include: 1) cleaning, preparing, documenting, and sharing research project data for subsequent statistical analysis; 2) conducting statistical analyses to address primary and secondary aims associated with the four research projects, including the modeling of key binary and continuous outcomes in relation to the main and interaction effects of studied intervention components using approaches such as linear and logistic regression models; 3) development and application of statistical techniques to synthesize results across multiple outcomes, particularly in the screening stages of the Multiphase Optimization Strategy (MOST) approach; 4) implementation of cost-effectiveness analyses that will permit evaluation of treatment outcomes in relation to the cost of treatment; 5) conducting analyses of qualitative and quantitative data to assist Implementation Project investigators in the evaluation of intervention Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM model); and 6) coordinating and consulting with Project and Core Leaders to develop analytic plans that ensure that analyses address clinically and substantively important research goals and to assist in interpretation of obtained results. Members of the Data Analysis Core will meet regularly with investigators to ensure the scientific integrity of the research plan implementation, to monitor and discuss overall progress as well as specific project needs, and to make decisions related to prioritization and allocation of resources provided by the Data Analysis Core.