Analytic Techniques & Technology Care (ATT)

摘要 分析技术和技术核心 (ATT) 为中心研究人员提供先进的数据分析服务。它通过专注于数据分析技术和技术（包括先进统计技术的应用）来补充参与者招募和管理以及数字和电气工程核心的功能。核心通过以下方式协助中心研究人员：(1) 使用尖端方法规划和进行高级统计分析，以分析多元纵向数据； (2) 对中心研究人员进行综合分析、聚合数据集、数据文档协议和数据仓储程序的创新高级分析技术的培训； (3) 协助中心研究人员准备资助提案和最终报告，包括方法、程序和结果部分的撰写。核心为中心研究人员提供先进的统计服务，例如随机系数建模、个体内和个体间变化分析方法、纵向分析的最佳方法以及结构方程建模和其他多元技术的新方法。核心提供了及时接触训练有素、经验丰富的统计学家的机会，他们可以设计、执行和解释先进的多元模型，远远超出其他单位提供的统计服务范围或个人调查人员可用的范围。该核心通过整合参与者招募核心提供的参与招募协议和数字电子和工程核心提供的数字数据收集技术来发挥关键作用，以确保数据收集、记录、分析和解释的高效、准确和创新标准。核心为中心研究人员提供个性化的案头培训和中心范围的教程和演示，这些研究人员充当“孵化器”，通过使用新的分析方法和技术，例如从基于群体的轨迹中得出因果推理的技术，将增长曲线建模扩展到具有二元变量的应用程序，以及使用 Logit 和 Probit 模型进行群体比较，来刺激新的调查路线。这些核心服务具有战略性，旨在满足中心研究人员的数据分析需求，使他们能够推进当前的研究项目并开发新的研究扩展和合作。

Abstract The Analytic Techniques and Technology Core (ATT) provides advanced data analytic services to Center investigators. It complements the functions of the Participant Recruitment and Management and Digital and Electrical Engineering Cores by concentrating on techniques and technologies for data analysis including the application of advanced statistical techniques. The Core assists Center investigators by (1) planning and conducting advanced statistical analyses using cutting-edge methods for the analysis of multivariate, longitudinal data; (2) training Center investigators in innovative advanced analytic techniques for integrative analyses, aggregating datasets, data documentation protocols, and data warehousing procedures; (3) assisting Center investigators with grant proposal preparation and final report preparation including write-up of methods, procedures, and results sections. The Core provides advanced statistical services to Center investigators such as random coefficient modeling, methods for the analysis of intra- and inter-individual change, best-methods for longitudinal analysis, and new approaches to structural equation modeling and other multivariate techniques. The Core provides timely access to a highly trained, broadly experienced statistician who can design, execute, and interpret advanced multivariate models well beyond the scope of statistical services provided by other units or otherwise available to individual investigators. The Core serves a key role by integrating participation recruitment protocols provided by the Participant Recruitment Core, and digital data collection technologies, provided by the Digital Electronics and Engineering Core, to ensure efficient, accurate, and innovative standards for data collection, documentation, analysis, and interpretation. The Core provides individualized desk-side training and Center-wide tutorials and demonstrations for Center investigators which serve as "incubators" to stimulate new lines of inquiry made possible by the availability of new analytic methods and techniques such as techniques for drawing causal inference from group-based trajectories, extending growth curve modeling to applications with binary variables, and making group comparisons with logit and probit models. These Core services are strategic and targeted to the data-analytic needs of Center investigators to enable them to move forward on current research projects and to develop new research extensions and collaborations.