论文标题
关于卡莱尔的方法不正确用于二分法变量
On the incorrect use of Carlisle's method for dichotomous variables
论文作者
论文摘要
2017年，J。B。Carlisle提出了一种基于对治疗组之间报告的基线数据的比较，在随机对照试验中提出了一种欺诈检测方法。尽管卡莱尔仅将该方法用于连续变量，但一些作者最近对二分法变量的方法进行了天真的适应。我们解释了为什么这种适应导致p值通过数量级错误的p值，而我们为校正该方法做出了一个简单的具体建议。
In 2017, J. B. Carlisle has proposed a method for fraud detection in randomized controlled trials based on a comparison of reported baseline data between treatment groups. While Carlisle has only used the method for continuous variables, some authors have recently employed a naive adaption of the method for dichotomous variables. We explain why such adaptation leads to p-values that are wrong by orders of magnitude and we make a simple concrete proposal for correction of the method.
