Statistical Designs and Methods for Partially Controlled HIV/AIDS Studies

部分对照艾滋病毒/艾滋病研究的统计设计和方法

基本信息

批准号：
7874586
负责人：
CONSTANTINE E FRANGAKIS
金额：
$ 32.62万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-07-15 至 2013-06-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): An important objective of biomedical studies of HIV/AIDS is to estimate the effect of factors on HIV/AIDS outcomes. Although there has been a rich list of methods of analysis that are appropriate if such factors are assumed controlled, there is important need for designs and methods to validly estimate the effect of, and to maximize the benefit from factors that cannot be directly controlled. In this proposal, we will develop designs and methods to better estimate and to maximize the benefit that uncontrolled factors have on a population. The proposed methods will build on preliminary work we have conducted using the framework of "principal stratification". The success of that work increases the potential impact of this proposal. The proposed methods are developed for two broad aims, and are motivated by needle exchange programs in the US, HIV treatment administration in East Africa, and HIV vaccine efficacy trials. (Aim 1)Develop designs to maximize the treatment benefit for participants in studies that control the location of sites that offer treatments, but do not directly control who gets treatment or who provides outcomes. Such a situation arises with sites offering needle exchange programs in the US, and with sites operating HIV treatment programs in the developing world. We have previously developed methods to estimate the treatment effect on a population given a design. We now propose new methods to find designs that maximize both, the treatment effect on a population, as well as the information needed to periodically monitor that effect. Our methods are motivated by and will be applied to designate placements that maximize the benefit of the Baltimore Needle Exchange Program, and of the PEPFAR HIV programs in East Africa. (Aim 2)Develop statistical methods to better evaluate the effect of a treatment on outcomes which are defined only in an uncontrolled subset of participants selected after randomization. Such a situation arises in HIV vaccine trials when assessing the effect of a vaccine on outcomes (e.g., viral load) that are defined only on the subsets who are infected with HIV post-randomization. Vaccines that are infected with HIV can be different from those who are infected without the putative effect of vaccine on infection risk. We propose more valid methods to estimate the effects of HIV vaccines on longitudinal post-infection outcomes. Our methods are motivated and will be applied to the first cell-mediated immunity HIV vaccine trial (Step trial), and to the Mashi trial on mother-to-child HIV transmission.

描述（由申请人提供）：艾滋病毒/艾滋病生物医学研究的一个重要目标是估计因素对艾滋病毒/艾滋病结果的影响。尽管假设这些因素受到控制，已经有丰富的分析方法可供选择，但仍然非常需要设计和方法来有效估计无法直接控制的因素的影响，并最大限度地提高无法直接控制的因素的效益。在本提案中，我们将开发设计和方法，以更好地估计和最大化不受控制的因素对人群带来的好处。拟议的方法将建立在我们使用“主要分层”框架进行的初步工作的基础上。这项工作的成功增加了该提案的潜在影响。所提出的方法是为了两个广泛的目标而开发的，其动机是美国的针头交换计划、东非的艾滋病毒治疗管理以及艾滋病毒疫苗功效试验。（目标 1）开发设计，以最大限度地提高研究参与者的治疗效益，控制提供治疗的地点，但不直接控制谁接受治疗或谁提供结果。在美国提供针头交换项目的网站以及在发展中国家开展艾滋病毒治疗项目的网站都会出现这种情况。我们之前已经开发了方法来估计给定设计对人群的治疗效果。我们现在提出新的方法来寻找能够最大化对人群的治疗效果以及定期监测该效果所需的信息的设计。我们的方法受到巴尔的摩换针计划和东非总统艾滋病紧急救援计划（PEPFAR HIV）项目利益最大化的指定安置的启发，并将被应用于指定安置。（目标 2）开发统计方法，以更好地评估治疗对结果的影响，这些结果仅在随机化后选择的不受控制的参与者子集中定义。在艾滋病毒疫苗试验中，当评估疫苗对结果（例如病毒载量）的影响时，就会出现这种情况，而这些结果仅针对随机分组后感染艾滋病毒的子集进行定义。感染艾滋病毒的疫苗可能与感染艾滋病毒的疫苗不同，而疫苗对感染风险没有假定的影响。我们提出了更有效的方法来估计艾滋病毒疫苗对感染后纵向结果的影响。我们的方法是有动力的，将应用于第一个细胞介导的免疫HIV疫苗试验（Step试验），以及关于母婴HIV传播的Mashi试验。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Lack of response after initial chemoembolization for hepatocellular carcinoma: does it predict failure of subsequent treatment?

DOI：
10.1148/radiol.12112264
发表时间：
2012-10
期刊：
Radiology
影响因子：
19.7
作者：
Georgiades C;Geschwind JF;Harrison N;Hines-Peralta A;Liapi E;Hong K;Wu Z;Kamel I;Frangakis C
通讯作者：
Frangakis C

The calibration of treatment effects from clinical trials to target populations.