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METHODS OF FORECASTING ENROLLMENT RATE IN CLINICAL TRIAL

机译:临床试验中预测入学率的方法

摘要

In one embodiment, the present invention provides a method and system of designing a clinical trial enrollment plan, comprising the use of non-linear regression analysis to model the relationship between a pair of clinical trial parameter, e.g., the relationship between N and GSER (Gross Site Enrollment Rate) and the relationship between N and CTER (clinical trial enrollment rate). The values of the other parameter of the pair can be extrapolated from said regression analysis, wherein said extrapolated values of the parameters are outputted as a design or plan product which will be used in clinical trial for improving the performance
机译:在一个实施例中,本发明提供了一种设计临床试验登记计划的方法和系统,包括使用非线性回归分析来模拟一对临床试验参数之间的关系,例如,n和gser之间的关系(总位入场费率和N和CTER之间的关系(临床试验率)。该对的另一个参数的值可以从所述回归分析外推,其中所述参数的外推值被输出为设计或计划产品,其将用于临床试验以提高性能

著录项

  • 公开/公告号US2021134404A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 GEN LI;

    申请/专利号US202117148782

  • 发明设计人 GEN LI;

    申请日2021-01-14

  • 分类号G16H10/20;

  • 国家 US

  • 入库时间 2022-08-24 18:34:34

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