Methods for Time-Varying Disease Attribution in Chronic Disease Prevention

描述(申请人提供)：本方法提案的目的是开发和应用新的统计方法，以改进从慢性病预防研究的纵向队列研究中收集的数据对与肥胖和吸烟等风险因素相关的疾病归因的科学推断，具体目的是：(1)开发时变归因风险函数(ARF)的一般统计方法，以评估和比较预防策略；(2)为一组成对的ARF开发统计方法，以评估和识别实际最优的预防策略；(3)开发统计方法，以评估剩余时间内的疾病归因；(4)开发统计软件，并将所开发的方法应用于从亚洲队列联盟收集的大量队列数据。

DESCRIPTION (provided by applicant): The objective of this methods proposal is to develop and apply new statistical methods to improve scientific inferences on the disease attribution associated with risk factors, such as obesity and tobacco smoking, for data collected from longitudinal cohort studies in chronic disease prevention research, specifically aiming to: (1) develop general statistical methods for time-varying attributable risk functions (ARF) to assess and compare prevention strategies; (2) develop statistical methods for a set of pairwise ARF's to assess and identify practically optimal prevention strategies; (3) develop statistical methods to evaluate the disease attribution in residual time; (4) develop statistical software and apply the developed methods to a large collection of cohort data from the Asia Cohort Consortium.