Chen Bingshu Eric, Cook Richard J
Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1.
Biostatistics. 2004 Jan;5(1):129-43. doi: 10.1093/biostatistics/5.1.129.
In studies involving diseases associated with high rates of mortality, trials are frequently conducted to evaluate the effects of therapeutic interventions on recurrent event processes terminated by death. In this setting, cumulative mean functions form a natural basis for inference for questions of a health economic nature, and Ghosh and Lin (2000) recently proposed a relevant class of test statistics. Trials of patients with cancer metastatic to bone, however, involve multiple types of skeletal complications, each of which may be repeatedly experienced by patients over their lifetime. Traditionally the distinction between the various types of events is ignored and univariate analyses are conducted based on a composite recurrent event. However, when the events have different impacts on patients' quality of life, or when they incur different costs, it can be important to gain insight into the relative frequency of the specific types of events and treatment effects thereon. This may be achieved by conducting separate marginal analyses with each analysis focusing on one type of recurrent event. Global inferences regarding treatment benefit can then be achieved by carrying out multiplicity adjusted marginal tests, more formal multiple testing procedures, or by constructing global test statistics. We describe methods for testing for differences in mean functions between treatment groups which accommodate the fact that each particular event process is ultimately terminated by death. The methods are illustrated by application to a motivating study designed to examine the effect of bisphosphonate therapy on the incidence of skeletal complications among patients with breast cancer metastatic to bone. We find that there is a consistent trend towards a reduction in the cumulative mean for all four types of skeletal complications with bisphosphonate therapy; there is a significant reduction in the need for radiation therapy for the treatment of bone. The global test suggests that bisphosphonate therapy significantly reduces the overall number of skeletal complications.
在涉及高死亡率疾病的研究中,经常进行试验以评估治疗干预对因死亡而终止的复发事件过程的影响。在这种情况下,累积均值函数构成了对健康经济性质问题进行推断的自然基础,并且戈什和林(2000年)最近提出了一类相关的检验统计量。然而,对骨转移癌患者的试验涉及多种类型的骨骼并发症,每位患者在其一生中可能会反复经历每种并发症。传统上,各种类型事件之间的区别被忽略,并且基于复合复发事件进行单变量分析。但是,当这些事件对患者的生活质量有不同影响,或者产生不同成本时,深入了解特定类型事件的相对频率及其治疗效果可能很重要。这可以通过进行单独的边际分析来实现,每次分析专注于一种类型的复发事件。然后,可以通过进行多重性调整的边际检验、更正式的多重检验程序或构建全局检验统计量来实现关于治疗益处的全局推断。我们描述了用于检验治疗组之间均值函数差异的方法,这些方法考虑到每个特定事件过程最终都会因死亡而终止这一事实。通过将这些方法应用于一项旨在研究双膦酸盐疗法对骨转移乳腺癌患者骨骼并发症发生率影响的激励性研究中进行了说明。我们发现,双膦酸盐疗法使所有四种类型的骨骼并发症的累积均值都有持续下降的趋势;用于治疗骨病的放射治疗需求显著减少。全局检验表明,双膦酸盐疗法显著降低了骨骼并发症的总数。