STATISTICAL METHODS FOR AIDS PREVALENT COHORT DATA

该补助金的目的是开发统计方法， 艾滋病研究中的流行队列数据。 重点将放在两种类型的 流行队列：（1）已知时间来源的流行队列，以及（2） 时间来源不明的流行队列。 这两种类型的队列 有一个共同点，即两个队列中的患者 根据一定的横截面抽样标准招募。 然而，由于已知时间和未知时间，数据信息不同- 起源. 主要的主题将包括非和半参数方法为一个- 样本和回归问题。 特别是统计方法和 生存曲线估计理论，艾滋病毒感染估计， 将制定自助程序和比例风险模型。

The objective of this grant is to develop statistical methods useful for prevalent cohort data in AIDS studies. The focus will be on two types of prevalent cohorts: (1) prevalent cohort with know time-origins, and (2) prevalent cohort with unknown time-origins. These two types of cohorts share one thing in common, namely, patients in both of the cohorts are recruited according to a certain cross-sectional sampling criterion. However, the data informations differ due to the known and unknown time- origins. The major topics will include non- and semi-parametric methods for one- sample and regression problems. In particular, statistical methods and theory for survival curve estimation, HIV-infection estimation, bootstrapping procedures and proportional hazard model will be developed.