Statistical Issues in AIDS Research

艾滋病研究中的统计问题

• 批准号: 8259854
• 负责人: JAMES P HUGHES
• 金额: $ 31.51万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-09-30 至 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8259854
• 关键词: AIDS/HIV problem; Acquired Immunodeficiency Syndrome; Address; Algorithms; Antibodies; Biological Assay; Collaborations; Communities; Complex; Computing Methodologies; Cross-Over Studies; Data; Data Analyses; Development Plans; Epidemic; Epitope Mapping; Funding; Genetic Determinism; Grant; HIV; HIV Antigens; HIV Infections; HIV vaccine; Health; Immune response; Individual; Infection; Institution; Maps; Measurement; Methods; Phase; Publications; Randomized; Research; Research Design; Research Personnel; Risk; Sampling; Staining method; Stains; Statistical Methods; T-Lymphocyte; Testing; Time; Vaccines; Vertical Disease Transmission; Work; base; cytokine; design; immunogenicity; novel; prevent; randomized trial; virus genetics

DESCRIPTION (provided by applicant): Twenty five years after identification of the HIV virus, the AIDS epidemic continues with an estimated 33 million individuals currently infected worldwide and 2.5 million new infections each year. Research to prevent and treat HIV infection has grown increasing sophisticated and the analytic challenges have become correspondingly complex. In this application we outline plans for the development of statistical methods that will be directly applicable to current problems in the field of HIV/AIDS research. In particular, we propose to develop methods for the analysis of data from stepped wedge randomized trials, trials to prevent mother to child transmission of HIV, discordant partner studies, and trials or studies which utilize two-phase or other complex sampling designs. Since HIV infection is typically asymptomatic and the time of infection is bounded by two test dates, we continue work on methods for interval censored data and focus on issues related to competing risks and correlated interval censored data. Finally, as the search for an effective HIV vaccine presents ever greater challenges, we propose to develop novel statistical methods for analyzing data from studies of T-cell based vaccines as well as HIV antigen-antibody interactions. PUBLIC HEALTH RELEVANCE: This research will develop statistical methods for use in studies of HIV infection.

描述（由申请人提供）：鉴定艾滋病毒病毒后的25年，艾滋病流行仍在继续，目前估计有3300万人在全球感染了3300万人，每年有250万个新感染。预防和治疗艾滋病毒感染的研究越来越复杂，分析挑战变得相应复杂。在此应用中，我们概述了开发统计方法的计划，这些计划将直接适用于当前的艾滋病毒/艾滋病研究领域。特别是，我们建议开发方法，以分析阶梯楔随机试验的数据，防止母亲传播HIV的试验，不一致的伴侣研究以及使用两相或其他复杂抽样设计的试验或研究。由于HIV感染通常是无症状的，并且感染时间受两个测试日期的界定，因此我们继续研究用于间隔审查数据的方法，并关注与竞争风险和相关间隔审查数据有关的问题。最后，随着寻找有效的HIV疫苗提出的挑战越来越大，我们建议开发新的统计方法，以分析基于T细胞的疫苗研究以及HIV抗原抗体抗体相互作用的研究。公共卫生相关性：这项研究将开发用于HIV感染研究的统计方法。