Power and sample size for ordered categorical data
Power and sample size for ordered categorical data
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DOI：
10.1191/0962280203sm317ra
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发表时间：
2003-01-01
影响因子：
2.3
通讯作者：
Senchaudhuri, P
中科院分区：
文献类型：
--
作者：
Rabbee, N;Coull, BA;Senchaudhuri, P
我们提出了一种新的计算能力和样本大小的方法，用于两个有序多项总体之间差异的线性等级检验。该方法是灵活的，因为它适用于任何一般的替代假设和任何排名分数的选择。我们证明该方法虽然渐近，但非常接近现有的精确方法。同时它克服了精确方法的计算限制。这一优势使得我们的渐近方法对于大型研究的规划阶段的样本量计算更加实用。我们用二阶多项式设置中比例和非比例赔率模型产生的数据来说明该方法。
We propose a new method for computing power and sample size for linear rank tests of differences between two ordered multinomial populations. The method is flexible in that it is applicable to any general alternative hypothesis and for any choice of rank scores. We show that the method, though asymptotic, closely approximates existing exact methods. At the same time it overcomes the computational limitations of the exact methods. This advantage makes our asymptotic approach more practical for sample size computations at the planning stages of a large study. We illustrate the method with data arising from both proportional and non-proportional odds models in the two ordered multinomial setting.