Analysis Core

分析核心由具有广泛互补专业的专家组成，包括 生物统计学家，老年学家，社会学家和人口统计学家，他们以老龄化研究而闻名。的 最初的优先事项是在研究设计、测量和数据方面支持得克萨斯州RCMAR试点研究 分析.我们将重点关注跨国研究的测量方法的协调和 来自NIA资助的调查的纵向数据，以研究身体功能，认知功能，社会功能， 支持，虚弱，残疾，医疗保健利用率，以及美国和墨西哥老年拉美裔人的生存率。在 此外，核心将整合现有的国家调查-医疗保险联系数据集，并提供 专业知识分析这些数据集的RCMAR学者。将调查与医疗保险文件联系起来将提供丰富的 信息和资源，用于研究社会，心理，经济和行为因素如何影响 医疗保健和健康结果的轨迹。核心资源将提供给任何学者 对西班牙裔和其他少数老龄化群体进行研究。该核心的具体目标是： 1.为试点研究提供衡量、统计和方法支持， 增加进行多样性老龄化研究的少数族裔调查员的人数。 1.a.参与中试项目的设计、监测、数据管理和统计分析计划 研究项目。 1.b.为RCMAR学者提供分析指导。 2.开发数据资源，测量，分析方法，并调查关系 社会，心理，经济，行为因素与健康护理和福祉之间的关系， 纵向和跨国调查以及调查-医疗保险联系数据集。 2.a.记录和传播西班牙裔老龄化测量的测量协议 德克萨斯州RCMAR研究人员创建的数据集。 2.b.协助制定数据使用协议和安全协议，以便将医疗保险数据集用于 对西班牙裔和其他少数民族人口老龄化的研究。 2.c.协调数据提取和分析文件的生成，为老年研究者提供统计数据， 咨询，特别是关于使用多层次和纵向模型分析调查的咨询- 医疗保险联系数据集。 2.d.在老龄化研究中采用和发展创新方法。

The Analysis Core consists of experts with a broad range of complementary specialties, including biostatisticians, gerontologists, sociologists, and demographers who are well known for aging studies. The initial priority will be to support Texas RCMAR pilot studies in research design, measurement, and data analysis. We will focus on the harmonization of measurements for cross-national studies and use of longitudinal data from NIA-funded surveys to study the trajectory of physical function, cognitive function, social support, frailty, disability, health care utilization, and survival among older Hispanics in the US and Mexico. In addition, the core will consolidate the available national survey-Medicare linkage datasets and provide expertise in analyzing these data sets to RCMAR scholars. Linking surveys to Medicare files will provide rich information and resources for studying how social, psychological, economic, and behavioral factors impact the trajectories of health care and health outcomes. The core resources will be available for any scholars conducting research on Hispanics and other minority aging groups. The specific aims of the core are to: 1. Provide measurement, statistical and methodological support for pilot research designed to increase the number of minority investigators conducting diversity aging research. 1.a. Participate in the design, monitoring, data management, and statistical analysis planning for pilot research projects. 1.b. Provide analytical mentoring to RCMAR scholars. 2. Develop data resources, measurement, analytical approaches, and investigate the relationship between social, psychological, economic, behavioral factors and health care and well-being in longitudinal and cross-national surveys and survey-Medicare linkage data sets. 2.a. Documentation and dissemination of measurement protocols for measures used in Hispanic aging datasets created by Texas RCMAR investigators. 2.b. Assistance in developing data use agreements and security protocols for use of Medicare data sets for the studies of aging of Hispanics and other minority populations. 2.c. Coordinate data extraction and analytical file generation for aging investigators and provide statistical consultation especially on the use of multilevel and longitudinal models for analysis of survey- Medicare linkage data sets. 2.d. Adopt and develop innovative approaches in aging research.