纵向医疗数据的数据模拟模型的设计与验证
Design and validation of a data simulation model for longitudinal healthcare data.
作者信息
Murray Richard E, Ryan Patrick B, Reisinger Stephanie J
机构信息
United BioSource Corporation, Harrisburg, PA, USA.
出版信息
AMIA Annu Symp Proc. 2011;2011:1176-85. Epub 2011 Oct 22.
Evaluating performance characteristics of analytic methods developed to identify treatment effects in longitudinal healthcare data has been hindered by lack of an objective benchmark to measure performance. Relationships between drugs and subsequent treatment effects are not precisely quantified in real-world data, and simulated data offer potential to augment method development by providing data with known, measurable characteristics. However, the use of simulated data has been limited due to its inability to adequately reflect the complexities inherent in real-world databases that are necessary for effective method development. The goal of this study was to develop and evaluate a model for simulating longitudinal healthcare data that adequately captures these complexities. An empiric design was chosen that utilizes the characteristics of a real healthcare database as simulation input. This model demonstrates the potential for simulated data with known characteristics to adequately reflect complex relationships among diseases and treatments as recorded in healthcare databases.
评估为识别纵向医疗数据中的治疗效果而开发的分析方法的性能特征，一直因缺乏衡量性能的客观基准而受到阻碍。在真实世界数据中，药物与后续治疗效果之间的关系并未得到精确量化，而模拟数据通过提供具有已知、可测量特征的数据，为方法开发提供了助力。然而，由于模拟数据无法充分反映有效方法开发所需的真实世界数据库中固有的复杂性，其应用受到了限制。本研究的目的是开发并评估一个用于模拟纵向医疗数据的模型，该模型能够充分捕捉这些复杂性。我们选择了一种经验性设计，利用真实医疗数据库的特征作为模拟输入。该模型证明了具有已知特征的模拟数据有潜力充分反映医疗数据库中记录的疾病与治疗之间的复杂关系。
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