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Analytic Methods for HIV Treatment and Co-Factor Effects

Analytic Methods for HIV Treatment and Co-Factor Effects
HIV 治疗和辅助因素效应的分析方法
批准号:
8648951
负责人:
JAMES M ROBINS
金额:
$67.72万
依托单位国家:
美国
项目类别:
财政年份:
1992
资助国家:
美国
项目状态:
已结题
起止时间:
1992-08-01 至 2017-03-31

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项目成果

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中文摘要
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英文摘要
The principal aim of this proposal is to further development of new methods for analyzing observational data bases and randomized trials of HIV-infected persons and the application of these methods to data obtained in randomized and observational studies in an attempt to help answer important open substantive questions concerning the treatment and course of HlV-related disease. The proposed approaches are based either on (i) the estimation of new classes of causal models which include structural nested models, marginal structural models (MSMs), direct effect structural nested models, continuous time structural nested models, and optimail regime structural models (SNMs). Many of the new methods are fundamentally "epidemiologic" in that they require data on time-dependent confounding factors, that is, risk factors for outcomes that also predict subsequent treatment with the drug or cofactor under study. In particular, we plan to further develop optimal regime SNMs and dynamic MSMs to help detemnine the optimal times to start HAART therapy and to change HAART regimens as a function of a subject's CD4 count, HIV RNA, clinical history, and, where available, results of genot^lc or phenotypic resistance testing. Our methods will be developed with the goal of directing analyzes and reanalyzes, with collaborators, of data from the HIV Causal Colioboration at HSPH . the Multicenler AIDS Cohort Study, The Women's Interagency HIV Study, The Swiss HIV Cohort Study, The Study of The Consequences of Protease Inhibitor Era (SCOPE), Pediatric Late Outcomes Protocol (PACTG 219) and the ALLRT study. RELEVANCE (See instructions): Observational methods are used to answer pressing causal questions that cannot be or have not yet been studied in randomized trials. In particular we are developing methods that are the best available to determine the optimal CD4 and HIV RNA levels at which to initiate HAAART therapy in HIV infected subjects and the optimal time to change therapy once resistance to a initial HAART regime has developed.
期刊论文(26)
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科研奖励(0)
会议论文
DOI: 10.1177/0962280211403597
发表时间: 2013-02
期刊: Statistical methods in medical research
影响因子: 2.3
作者: [Li L, Shen C, Li X, Robins JM]
通讯作者: Robins JM
Multiple outbreaks and flu containment plans.
多次爆发和流感遏制计划。
DOI: 10.1126/science.312.5775.845b
发表时间: 2006
期刊: Science (New York, N.Y.)
影响因子: --
作者: [Lipsitch,Marc, Robins,JamesM, Mills,ChristinaE, Bergstrom,CarlT]
通讯作者: Bergstrom,CarlT
DOI: 10.1186/1471-2334-10-211
发表时间: 2010-07-20
期刊: BMC infectious diseases
影响因子: 3.7
作者: [Goldstein E, Cowling BJ, O'Hagan JJ, Danon L, Fang VJ, Hagy A, Miller JC, Reshef D, Robins J, Biedrzycki P, Lipsitch M]
通讯作者: Lipsitch M
DOI: 10.1111/sjos.12089
发表时间: 2015-06-01
期刊: Scandinavian journal of statistics, theory and applications
影响因子: --
作者: [Robins JM, VanderWeele TJ, Gill RD]
通讯作者: Gill RD
9
    ANALYTIC METHODS FOR HIV-TREATMENT AND COFACTOR EFFECTS
    • 批准号:
      3147580
    • 项目类别:
    • 资助金额:
      $16.74万
    • 财政年份:
      1992
    • 负责人:
      JAMES M ROBINS
    • 依托单位:
    Analytical Methods/HIV Treatment and Co-factor Effects
    • 批准号:
      7387337
    • 项目类别:
    • 资助金额:
      $53.98万
    • 财政年份:
      1992
    • 负责人:
      JAMES M ROBINS
    • 依托单位:
    ANALYTIC METHODS FOR HIV TREATMENT AND COFACTOR EFFECTS
    • 批准号:
      2003767
    • 项目类别:
    • 资助金额:
      $29.54万
    • 财政年份:
      1992
    • 负责人:
      JAMES M ROBINS
    • 依托单位:
    ANALYTIC METHODS FOR HIV-TREATMENT AND COFACTOR EFFECTS
    • 批准号:
      3147581
    • 项目类别:
    • 资助金额:
      $24.94万
    • 财政年份:
      1992
    • 负责人:
      JAMES M ROBINS
    • 依托单位:
    海外基金