课题基金 / 基金详情

Cancer and Leukemia Group B Statistical Center

Cancer and Leukemia Group B Statistical Center
癌症和白血病B组统计中心
批准号:
8055991
负责人:
DANIEL J. SARGENT
金额:
$468.28万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1982
资助国家:
美国
项目状态:
已结题
起止时间:
1982-12-01 至 2015-03-31

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中文摘要
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英文摘要
DESCRIPTION (Provided by applicant): The Cancer and Leukemia Group B (CALGB) Statistical Center has primary responsibility for all statistical, data management, computing, information systems, and related activities for the CALGB. Faculty and staff statisticians and data coordinators collaborate closely with study chairs, committee chairs, and other investigators on the design, conduct, analysis, and reporting of all clinical trials and other studies conducted by the CALGB. The Statistical Center has responsibility for central data quality control and database administration. All clinical data are sent to the Statistical Center for editing, verification, and entry into the official CALGB database. Scientific laboratory data are transmitted electronically and become part of the official record. Statisticians and data coordinators from the Statistical Center are assigned to each CALGB study. They work closely with study chairs to monitor the studies and to prepare all necessary reports, analyses, and manuscripts.
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Methodology for development, validation, and use of novel endpoints in oncology
  • 批准号:
    8630668
  • 项目类别:
  • 资助金额:
    $26.57万
  • 财政年份:
    2014
  • 负责人:
    DANIEL J. SARGENT
  • 依托单位:
Statistics and Data Center for the Alliance for Clinical Trials in Oncology
  • 批准号:
    8605352
  • 项目类别:
  • 资助金额:
    $654.97万
  • 财政年份:
    2014
  • 负责人:
    DANIEL J. SARGENT
  • 依托单位:
Statistics and Data Center for the Alliance for Clinical Trials in Oncology
  • 批准号:
    8839742
  • 项目类别:
  • 资助金额:
    $689.27万
  • 财政年份:
    2014
  • 负责人:
    DANIEL J. SARGENT
  • 依托单位:
Biostatics
  • 批准号:
    7945078
  • 项目类别:
  • 资助金额:
    $56.94万
  • 财政年份:
    2009
  • 负责人:
    DANIEL J. SARGENT
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data