Dahlberg Suzanne E, Wang Molin
Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
Biometrics. 2007 Dec;63(4):1237-44. doi: 10.1111/j.1541-0420.2007.00811.x.
We propose a semiparametric method for the analysis of masked-cause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation-maximization algorithm to conduct the likelihood maximization. The method is applied to data from a breast cancer clinical trial.
我们提出了一种半参数方法，用于分析存在治愈情况且受掩盖原因影响的失败数据。我们给出了失败时间分布、治愈率以及协变量对上述各项影响的估计量，假设感兴趣事件发生时间的治愈模型具有比例风险，并使用期望最大化算法进行似然最大化。该方法应用于一项乳腺癌临床试验的数据。
