首页> 外国专利> DETERMINING EFFICIENT EXPERIMENTAL DESIGN AND AUTOMATED OPTIMAL EXPERIMENTAL TREATMENT DELIVERY

DETERMINING EFFICIENT EXPERIMENTAL DESIGN AND AUTOMATED OPTIMAL EXPERIMENTAL TREATMENT DELIVERY

机译:确定有效的实验设计和自动化的最佳实验处理交付

摘要

An optimal sample size for experiments targeting units having specific static criteria is determined, based on one or more iterations of a performed experiment. The sample size to use for subsequent experiments targeting units having the specific static criteria is calculated based on target effect of the performed experiment. Multiple iterations can be performed to refine the sample size. Each iteration uses the previously calculated sample size as a parameter. The calculated sample size is then used to determine an optimal treatment. Separate experiments using separate treatments are performed on separate group sets of the calculated sample size. For each separate performed experiment, a score is calculated for the corresponding specific treatment, taking into account actual effect size, statistical significance and homogeneity of effect. Depending upon the score, the given treatment can be accepted for production usage or discarded, or the experiment can be replicated to validate effect.
机译:基于已执行实验的一个或多个迭代,确定针对具有特定静态标准的单元的实验的最佳样本量。基于所执行实验的目标效果,计算用于具有特定静态标准的目标单元的后续实验的样本量。可以执行多次迭代以细化样本大小。每次迭代都使用先前计算的样本大小作为参数。然后将计算出的样本量用于确定最佳治疗方案。使用单独处理的单独实验是针对计算出的样本量的单独组进行的。对于每个单独进行的实验,要考虑到实际的效应大小,统计学显着性和效应的均一性,为相应的特定治疗计算分数。根据得分,给定的处理方法可以被接受用于生产用途或被丢弃,或者可以重复实验以验证效果。

著录项

  • 公开/公告号WO2018156282A1

    专利类型

  • 公开/公告日2018-08-30

    原文格式PDF

  • 申请/专利权人 JUNTOS INC.;

    申请/专利号WO2018US14538

  • 申请日2018-01-19

  • 分类号G06F19;A61B5;G01N33/48;G01N33/50;G06G7/48;

  • 国家 WO

  • 入库时间 2022-08-21 12:42:55

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