Department of Biostatistics, Faculty of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.
Comput Math Methods Med. 2017;2017:9270450. doi: 10.1155/2017/9270450. Epub 2017 Oct 12.
The aim of this study is to propose a new pairwise multiple comparison adjustment procedure based on Genz's numerical computation of probabilities from a multivariate normal distribution. This method is applied to the results of two-sample log-rank and weighted log-rank statistics where the survival data contained right-censored observations. We conducted Monte Carlo simulation studies not only to evaluate the familywise error rate and power of the proposed procedure but also to compare the procedure with conventional methods. The proposed method is also applied to the data set consisting of 815 patients on a liver transplant waiting list from 1990 to 1999. It was found that the proposed method can control the type I error rate, and it yielded similar power as Tukey's and high power with respect to the other adjustment procedures. In addition to having a straightforward formula, it is easy to implement.
本研究旨在提出一种新的基于 Genz 数值计算的多元正态分布概率的成对多重比较调整程序。该方法应用于两样本对数秩和加权对数秩统计的结果，其中生存数据包含右删失观测值。我们进行了蒙特卡罗模拟研究，不仅评估了所提出方法的总体错误率和功效，还将其与传统方法进行了比较。该方法还应用于 1990 年至 1999 年期间 815 例肝移植等候名单患者的数据。结果发现，该方法可以控制第一类错误率，并且与 Tukey 方法相比，其功效相似，与其他调整方法相比，功效较高。除了具有直接的公式外，它还易于实现。
