北京師范大學(xué)童行偉教授“混合經(jīng)常性事件和面板計數(shù)數(shù)據(jù)回歸分析”大意為：在涉及復(fù)發(fā)事件事件歷史研究中，兩種類型的數(shù)據(jù)都得到了廣泛的討論。一個是復(fù)發(fā)事件數(shù)據(jù)。另一種是面板計數(shù)數(shù)據(jù)。在前者的情況下，所有的研究對象被連續(xù)監(jiān)測;因此，完整的信息，請感興趣的潛在的經(jīng)常性事件的過程。在后一種情況下，研究對象是周期性監(jiān)測;因此，僅不完全信息可用于所關(guān)注的進程。然而在現(xiàn)實中，第三類型的數(shù)據(jù)可能發(fā)生在其中的一些研究受試者連續(xù)監(jiān)測，但是其他定期監(jiān)測。如果發(fā)生這種情況，我們已混合復(fù)發(fā)事件和面板計數(shù)數(shù)據(jù)。本文探討了這種混合數(shù)據(jù)回歸分析，并提出兩種估計方法的問題。一個是最大似然估計程序，而另一個是一個估計方程的過程。兩者產(chǎn)生的回歸參數(shù)估計的漸近性質(zhì)確定。此外，方法應(yīng)用于一組混合復(fù)發(fā)事件和面板計數(shù)的數(shù)據(jù)，從一個兒童癌癥幸存者研究起來，促使本次調(diào)查。以下為原文。

　　Regression analysis of mixed recurrent-event and panel-count data

　　In event history studies concerning recurrent events, two types of data have been extensively discussed. One is recurrent-event data (Cook and Lawless, 2007), and the other is panel-count data (Zhao et al., 2010). In the former case, all study subjects are monitored continuously; thus, complete information is available for the underlying recurrent-event processes of interest. In the latter case, study subjects are monitored periodically; thus, only incomplete information is available for the processes of interest. In reality, however, a third type of data could occur in which some study subjects are monitored continuously, but others are monitored periodically. When this occurs, we have mixed recurrent-event and panel-count data. This paper discusses regression analysis of such mixed data and presents two estimation procedures for the problem. One is a maximum likelihood estimation procedure, and the other is an estimating equation procedure. The asymptotic properties of both resulting estimators of regression parameters are established. Also, the methods are applied to a set of mixed recurrent-event and panel-count data that arose from a Childhood Cancer Survivor Study and motivated this investigation