The stratified logrank test can be used to compare survival distributions of several groups of patients, while adjusting for the effect of some discrete variable that may be predictive of the survival outcome. In practice, it can happen that this discrete variable is missing for some patients. An inverse-probability-weighted version of the stratified logrank statistic is introduced to tackle this issue. Its asymptotic distribution is derived under the null hypothesis of equality of the survival distributions. A simulation study is conducted to assess behavior of the proposed test statistic in finite samples. An analysis of a medical dataset illustrates the methodology.

中文翻译：

---

具有缺失测量值的分层生存数据的逆概率加权对数秩检验

分层时序检验可用于比较几组患者的生存分布，同时调整可能预测生存结果的某些离散变量的影响。在实践中，可能会发生某些患者缺少此离散变量的情况。引入了分层对数秩统计的逆概率加权版本来解决这个问题。它的渐近分布是在生存分布相等的零假设下推导出来的。进行模拟研究以评估所提出的测试统计量在有限样本中的行为。对医学数据集的分析说明了该方法。