Survival Analysis of Backward Recurrence Times
研究了如何将生存分析方法应用于调查中测量最近事件发生时间的数据，指出在特定随机过程下标准方法适用，但包含持续时间依赖时需特殊处理，并以住宅流动性数据为例进行回归模型估计。
Abstract Many surveys include questions that attempt to measure the time of the most recent occurrence of some event, for example, last visit to a physician. Although it is tempting to apply survival (failure-time) methods to such data, the conditions under which such applications are appropriate have not been apparent. In this article it is shown that standard methods may be applied when the data arise from certain well-known stochastic processes. Special procedures may be necessary if the models include duration dependence, however. The methods are illustrated by the estimation of regression models for data on residential mobility.