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METHODS OF FORECASTING ENROLLMENT RATE IN CLINICAL TRIAL

机译:临床试验入学率预测方法

摘要

In one embodiment, the present invention provides a method of designing a clinical trial enrollment plan, comprising the use of non-linear regression analysis to model the relationship between the number of investigator sites and the site enrollment rates, or the relationship between the number of investigator sites and the trial enrollment rates. One or more parameters such as the number of investigator sites, site enrollment rates, and/or trial enrollment rates can then be extrapolated from said regression analysis, wherein said extrapolated parameters are used in the design of one or more clinical trial enrollment plans
机译:在一个实施例中,本发明提供了一种设计临床试验入组计划的方法,该方法包括使用非线性回归分析来对研究者位点数目与位点入选率之间的关系或模型的数目之间的关系进行建模。研究者所在地和试验入学率。然后可以从所述回归分析中推断出一个或多个参数,例如研究者地点的数量,地点的登记率和/或试验的登记率,其中,所述推断的参数用于设计一个或多个临床试验的登记计划。

著录项

  • 公开/公告号US2020350041A1

    专利类型

  • 公开/公告日2020-11-05

    原文格式PDF

  • 申请/专利权人 GEN LI;

    申请/专利号US202016931692

  • 发明设计人 GEN LI;

    申请日2020-07-17

  • 分类号G16H10/20;G16H40/20;

  • 国家 US

  • 入库时间 2022-08-21 11:21:13

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