Davis C S, Wei L J
Department of Preventive Medicine, University of Iowa, Iowa City 52242.
Biometrics. 1988 Dec;44(4):1005-18.
In comparing the effectiveness of two treatments, suppose that nondecreasing repeated measurements of the same characteristic are scheduled to be taken over a common set of time points for each study subject. A class of univariate one-sided global asymptotically distribution-free tests is proposed to test the equality of the two treatments. The test procedures allow different patterns of missing observations in the two groups to be compared, although the missing data mechanism is required to be independent of the observations in each treatment group. Test-based point and interval estimators of the global treatment difference are given. Multiple inference procedures are also provided to examine the time trend of treatment differences over the entire study. The proposed methods are illustrated by an example from a bladder cancer study.
在比较两种治疗方法的有效性时，假设针对每个研究对象，计划在一组共同的时间点上对同一特征进行非递减的重复测量。本文提出了一类单变量单侧全局渐近分布自由检验，用于检验两种治疗方法的等效性。尽管要求缺失数据机制与每个治疗组中的观测值无关，但该检验程序允许比较两组中不同的缺失观测值模式。给出了基于检验的全局治疗差异的点估计和区间估计。还提供了多重推断程序，以检验整个研究过程中治疗差异的时间趋势。通过一项膀胱癌研究的实例说明了所提出的方法。
