Linear Rank Tests for the Nonresponders Problem with Censored Data
针对治疗组中部分患者改善、部分无应答（行为类似对照组）的两样本混合模型，在随机删失数据下开发了线性秩统计量的检验方法，并与对数秩检验等标准方法比较了渐近相对效率、经验功效和实际数据表现。
In a two-sample setting, a two-parameter mixture model is postulated for the treated patients where a proportion of the patients improve and the remaining proportion of nonresponders behave like the control patients. The response is subject to random censoring. Censored data versions of linear rank statistics are developed in order to detect improvement due to treatment. The tests are compared to standard tests such as the log rank test in terms of asymptotic relative efficiency, empirical power, and performance on real data.