Harvard Medical School, Boston, MA, United States.
Comput Methods Programs Biomed. 2011 Nov;104(2):266-70. doi: 10.1016/j.cmpb.2011.02.001. Epub 2011 Apr 15.
The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or a control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code.
聚集对数秩检验是一种用于相关生存数据的非参数显著性检验方法。其应用的例子包括群组随机试验,其中将患者群体而不是个体随机分配到治疗或对照组。我们描述了一个 SAS 宏,该宏实现了针对整个群组均被随机分配到同一治疗组的数据的 2 样本聚集对数秩检验。我们讨论了该检验背后的理论和应用以及 SAS 代码的详细信息。