Lagakos S W
Biometrics. 1979 Mar;35(1):139-56.
This paper concerns general right censoring and some of the difficulties it creates in the analysis of survival data. A general formulation of censored-survival processes leads to the partition of all models into those based on noninformative and informative censoring. Nearly all statistical methods for censored data assume that censoring is noninformative. Topics considered within this class include: the relationships between three models for noninformative censoring, the use of likelihood methods for inferences about the distribution of survival time, the effects of censoring on the K-sample problem, and the effects of censoring on model testing. Also considered are several topics which relate to informative censoring models. These include: problems of nonidentifiability that can be encountered when attempting to assess a set of data for the type of censoring in effect, the consequences of falsely assuming that censoring is noninformative, and classes of informative censoring models.
本文关注一般的右删失以及它在生存数据分析中所带来的一些困难。删失生存过程的一般公式导致所有模型被划分为基于非信息删失和信息删失的模型。几乎所有用于删失数据的统计方法都假定删失是非信息性的。在这一类别中所考虑的主题包括：三种非信息删失模型之间的关系、使用似然方法对生存时间分布进行推断、删失对K样本问题的影响以及删失对模型检验的影响。还考虑了几个与信息删失模型相关的主题。这些包括：在试图评估一组数据的实际删失类型时可能遇到的不可识别性问题、错误假定删失是非信息性的后果以及信息删失模型的类别。
