DISCRETE OUTCOME MODELS FOR EPIDEMIOLOGICAL SURVEYS

描述：此应用程序建议使用纵向数据 评估体力活动和共病影响的老龄化研究(LSOA) 功能状态改变的条件。定义的使用 提出了既包括残疾又包括依赖的职能地位。 这些分析的结果将允许比较体力活动 并存的情况可能会影响残疾和/或依赖，可能 有助于更好地理解体力活动可能起的作用 在游戏中延长直到功能衰退的时间并需要很长时间 定期护理服务。为了实现这些目标，有必要发展 统计方法和计算机程序允许边缘的， 离散的过渡性、特定主题或潜变量模型 从流行病学调查获得的结果。这种方法必须 必须处理以下问题：调查权重、分层选择 参与者的集群，集群内结果的相关性 以及对参与者的重复测量和不完整的数据之间 由制度化和死亡造成的。统计方法 该项目产生的结果将广泛适用于其他 面临上述任何问题的流行病学研究。一个 这项研究项目的另一个副产品将是 用于拟合新开发的统计数据的计算机软件 方法：研究方法。

DESCRIPTION: This application proposes to use data from the Longitudinal Study on Aging (LSOA) to assess the impact of physical activity and comorbid conditions on changes in functional status. Use of definitions of functional status encompassing both disability and dependency are proposed. Results from these analyses will allow a comparison of how physical activity and comorbid conditions may impact on disability and/or dependency, possibly leading to a better understanding of the role that physical activity may play in prolonging the time until functional decline and the need for long term care services. To achieve these aims, it will be necessary to develop statistical methods and computer programs permitting either marginal, transitional, subject-specific or latent variable modelling of discrete outcomes obtained from epidemiological surveys. Such methods must requisitely deal with issues such as: survey weights, stratified selection of clusters of participants, correlation of outcomes both within clusters and between repeated measurements on participants, and incomplete data resulting from institutionalization and death. The statistical methods resulting from this project will have broad applicability to other epidemiologic studies faced with any of the issues previously listed. An additional byproduct of this research project will be the availability of computer software useful for fitting the newly developed statistical methods.