Analytic Techniques & Technology Care (ATT)

分析技术

• 批准号: 9116623
• 负责人: SUSAN J. KEMPER
• 金额: $ 15.84万
• 依托单位: UNIVERSITY OF KANSAS LAWRENCE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2018-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9116623
• 关键词: Address; Applications Grants; Caring; Collaborations; Communication impairment; Complement; Computer Simulation; Data; Data Analyses; Data Analytics; Data Collection; Data Display; Data Set; Documentation; Effectiveness; Electrical Engineering; Electronics; Engineering; Ensure; Equation; Funding; Growth; Incubators; Individual; Life; Measurement; Measures; Methods; Modeling; Multivariate Analysis; Participant; Phase; Preparation; Procedures; Protocols documentation; Qualifying; Reporting; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Role; Science; Services; Side; Structural Models; Techniques; Technology; Testing; Time; Training; Work; Writing; abstracting; base; biobehavior; comparison group; data mining; data sharing; design; digital; experience; feeding; innovation; longitudinal analysis; novel strategies; statistical service; technology/technique

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.

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。它补充参与者征聘和管理以及数字和电气工程核心的职能，重点是数据分析的技巧和技术，包括应用先进的统计技术。核心通过以下方式协助中心调查人员：（1）使用尖端方法规划和进行高级统计分析，以分析多变量纵向数据;（2）培训中心调查人员使用创新的高级分析技术进行综合分析，汇总数据集，数据记录协议和数据仓库程序;（3）协助中心研究人员准备资助申请和最终报告，包括撰写方法，程序和结果部分。核心为中心调查人员提供先进的统计服务，如随机系数建模，个体内和个体间变化的分析方法，纵向分析的最佳方法，以及结构方程建模和其他多变量技术的新方法。该核心提供了一个训练有素，经验丰富的统计学家谁可以设计，执行和解释先进的多元模型远远超出了其他单位提供的统计服务的范围或以其他方式提供给个别调查人员及时访问。核心通过整合参与者招募核心提供的参与者招募协议以及数字电子和工程核心提供的数字数据收集技术，以确保数据收集，记录，分析和解释的有效，准确和创新标准，发挥关键作用。核心为中心调查人员提供个性化的案头培训和中心范围的教程和演示，这些调查人员作为“孵化器”，通过新的分析方法和技术的可用性刺激新的调查路线，例如从基于组的轨迹中绘制因果推理的技术，将增长曲线建模扩展到二元变量的应用，以及使用logit和probit模型进行组比较。这些核心服务具有战略性，针对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。