Sequential Tests for an Unstable Response Variable
研究了Robbins和Siegmund的序贯检验方法，针对正态响应数据，修正了线性时间趋势或序列相关的影响，并通过模拟比较了多种分配规则以减少接受劣质治疗的患者数。
The class of sequential tests investigated by Robbins & Siegmund (1974) for deciding which of two treatments is superior is considered. For normal responses, it is shown how these tests can be modified to take into account linear time-trends in the data or serial correlation between responses. A number of allocation rules designed to reduce the number of patients who receive the inferior treatment are compared. Simulation indicates that the error probabilities for the modified tests are generally no larger than those for the original tests with independent and identically distributed responses.