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STATISTICAL METHODS FOR INTERVAL-CENSORED AIDS DATA

间隔审查艾滋病数据的统计方法

基本信息

批准号：
6532746
负责人：
Jianguo TONY Sun
金额：
$ 10.95万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
1998
资助国家：
美国
起止时间：
1998-08-15 至 2004-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/6532746
关键词：
AIDS data collection methodology /evaluation human data method development statistics /biometry

项目摘要

The purpose of this proposal is to address the statistical issues related to and to develop statistical methods for the analysis of interval-censored data arising from AIDS studies. Such studies play an essential role in AIDS treatment development, the understanding of AIDS epidemic and the process of health-related policy-making. AIDS clinical trial is a key component of the development of AIDS treatments and the interval-censoring problem frequently occurs in this situation. In practice, the interval-censoring problem is usually simplified due to the unavailability of the appropriate statistical methods. A major component of the proposed research involves developing statistical methods that take into account the interval-censoring structure of the data and are appropriate for the analysis of AIDS clinical trials. AIDS cohort follow-up studies are commonly used to obtain the knowledge about AIDS incubation time, which is important in understanding both the process of AIDS disease and HIV and AIDS epidemics. In this case, the interval-censoring occurs more often and has a much more complicated structure than in the case of AIDS clinical trials. The proposed research will assess and develop existing and new statistical methods, respectively, for inference about AIDS incubation time based on interval-censored data. It will also develop guidelines for more efficient and precise estimation of the distribution of AIDS incubation time. The analysis of AIDS surveillance data is constantly conducted in order to monitor HIV and AIDS epidemics and provide essential information to the US Government to make health-related policies. In this situation, the analysis must address both interval- censoring and reporting delay problems simultaneously. One component of the proposed research concerns the development of a simple and practical statistical method for inference about AIDS survival time based on AIDS surveillance data and the guidelines for more accurate estimation of HIV prevalences and projections of future AIDS incidences.

这项建议的目的是解决统计问题与分析有关，并发展统计方法艾滋病研究中产生的间隔删失数据。这样的研究起到了在艾滋病治疗发展中的重要作用，了解艾滋病流行病和与卫生有关的政策制定过程。艾滋病临床试验是艾滋病发展的关键组成部分处理和区间截尾问题在该问题中经常出现情况。在实际中，区间截尾问题通常是由于无法获得适当的统计数据而简化方法：研究方法。拟议研究的一个主要组成部分涉及开发考虑区间截尾的统计方法数据的结构和适用于艾滋病的分析临床试验。艾滋病队列随访研究通常用于了解艾滋病的潜伏期，这对既了解艾滋病的发病过程，又了解艾滋病毒和艾滋病流行病。在这种情况下，区间删失发生得更频繁，并且有比艾滋病临床病例复杂得多的结构审判。拟议的研究将评估和发展现有的和新的分别用统计学方法推断艾滋病潜伏期基于间隔删失数据的时间。它还将制定指导方针为了更有效和准确地估计艾滋病的分布孵化时间。对艾滋病监测数据的分析不断目的是监测艾滋病毒和艾滋病的流行情况，并提供向美国政府提供与健康相关的基本信息政策。在这种情况下，分析必须处理两个间隔- 同时审查和报告延迟问题。一个组件所提出的研究内容涉及开发一种简单和艾滋病生存时间推断的实用统计方法根据艾滋病监测数据和指南进行更准确艾滋病毒流行率的估计和未来艾滋病发病率的预测。