Lim Hyun Ja, Liu Jingxia, Melzer-Lange Marlene
Medical College of Wiscnsin, Biosstatistics, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA.
Accid Anal Prev. 2007 Mar;39(2):290-9. doi: 10.1016/j.aap.2006.07.009. Epub 2006 Oct 13.
In many medical conditions subjects can experience recurrent incidents. A common feature for the recurrent events data and multi-stage failure time observations is that the events are naturally ordered and occur in a certain sequence over time. To analyze such data, conventional methods based on either the frequency of events or the time to the first event or overall survival time is often inefficient and unsophisticated. If data have repeated events over a period with censored failure time in longitudinal studies, more complex analytic approaches are needed to obtain accurate estimates and efficient inferences, because adjustment is necessary for existing correlation between recurrent failure times within a subject. For analyzing different kinds of recurrent event data we review the existing models-multiple failure time models and frailty models, which allow use of all the available information to accurately estimate the relative risks of recurrences in a given dataset. Using the Pediatric Firearm Victim's Emergency Department Visit Study, the results from the proposed models are compared, and applicability and appropriateness of each model are discussed.
在许多医疗状况下，受试者会经历反复出现的事件。复发事件数据和多阶段失效时间观察的一个共同特征是，这些事件具有自然顺序，并且会随着时间按一定顺序发生。为了分析此类数据，基于事件频率、首次事件发生时间或总体生存时间的传统方法通常效率低下且不够精细。如果在纵向研究中，数据在一段时间内存在重复事件且失效时间被截尾，那么就需要更复杂的分析方法来获得准确的估计和有效的推断，因为有必要对受试者内复发失效时间之间的现有相关性进行调整。为了分析不同类型的复发事件数据，我们回顾了现有的模型——多重失效时间模型和脆弱模型，这些模型允许利用所有可用信息来准确估计给定数据集中复发的相对风险。使用儿科枪支受害者急诊科就诊研究，对所提出模型的结果进行了比较，并讨论了每个模型的适用性和恰当性。
