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Automatic Generation of User and Non-User Cohorts for The Estimation of Drug's Effect from Longitudinal Observational Data

机译:自动生成用户和非用户群组,以根据纵向观察数据估算药物的作用

摘要

Embodiments of the present systems and methods may provide generation of user and non-user cohorts for the estimation of drug's effect from longitudinal observational data that provide reduction of biases, account for progression of disease over time, and improve statistical significance. For example, in an embodiment, a computer-implemented method for conducting an observational trial of a drug under study may comprise receiving data relating to a plurality of patients, the data including drug prescription information for each patient, assigning each of the plurality of patients to a trial cohort based on the drug prescription information, setting an index date for each of the plurality of patients, and conducting an observational drug trial using the generated cohorts and index dates.
机译:本系统和方法的实施例可以提供用于从纵向观察数据估计药物作用的用户和非用户队列的产生,该纵向观察数据提供了偏倚的减少,疾病随时间推移的发展以及改善了统计显着性。例如,在一个实施例中,用于对研究中的药物进行观察性试验的计算机实现的方法可以包括:接收与多个患者有关的数据,该数据包括每个患者的药物处方信息;分配多个患者中的每个患者基于药物处方信息的试验队列,为多个患者中的每个患者设置索引日期,并使用生成的队列和索引日期进行观察性药物试验。

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