有序处理连续比较的置信区间

Confidence Intervals for Successive Comparisons of Ordered Treatment Effects

  • 摘要: 为有序均值的连续比较提出了一个新的检验过程. 他们的过程对满足简单序的均值有重要的应用价值, 例如在研究增长剂量对药物效用的影响. 与其它检验过程相比(例: Hayter\ucite4中的检验), 其优点在于产生了更短的连续比较的置信限, 从而能够提供更多机会发现在何药剂量处有不同的效用. 但作为有序均值的齐性检验, 它的势表现远劣于其它检验. 本文的目的是提出一检验过程在尽量保持Lee and Spurrier\ucite8检验的优点的同时大大地提高其势表现.

     

    Abstract: present a new procedure for making successive comparisons between ordered treatments. Their procedure has important applications for problems where the treatments can be assumed to satisfy a simple ordering, such as for a sequence of increasing dose-levels of a drug. The advantage of their procedure is that it provides more chance to detect when changes in the treatment means occur than other test procedures (for example: test in Hayter\ucite4). The disadvantage of their procedure is that it is not as powerful as other test procedures. In this paper we propose a test procedure which try to keep the advantage of Lee and Spurrier's procedure and promote the power performance of their test procedure.

     

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