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首页> 外文期刊>American Journal of Preventive Medicine >Geographic Information Systems to Assess External Validity in Randomized Trials
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Geographic Information Systems to Assess External Validity in Randomized Trials

机译:地理信息系统评估随机试验中的外部有效性

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Introduction: To support claims that RCTs can reduce health disparities (i.e., are translational), it is imperative that methodologies exist to evaluate the tenability of external validity in RCTs when probabilistic sampling of participants is not employed. Typically, attempts at establishing post hoc external validity are limited to a few comparisons across convenience variables, which must be available in both sample and population. A Type 2 diabetes RCT was used as an example of a method that uses a geographic information system to assess external validity in the absence of a priori probabilistic community-wide diabetes risk sampling strategy.
机译:介绍:为了支持索赔,RCT可以减少健康差异(即,是翻译),必须在没有采用参与者的概率抽样时评估RCT在RCT中的外部有效性的损益是必要的。 通常,建立后HOC外部有效性的尝试仅限于跨便利变量的一些比较,这必须在样本和人口中提供。 2型糖尿病RCT被用作使用地理信息系统来评估外部有效性的方法的示例,以便在没有先验的概率群体宽阔的糖尿病风险采样策略中评估外部有效性。

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