SAMPLE-SIZE CALCULATIONS FOR ORDERED CATEGORICAL-DATA
SAMPLE-SIZE CALCULATIONS FOR ORDERED CATEGORICAL-DATA
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DOI：
10.1002/sim.4780122404
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发表时间：
1993-12-30
影响因子：
2
通讯作者：
WHITEHEAD, J
中科院分区：
文献类型：
--
作者：
WHITEHEAD, J
许多临床试验产生的数据都是有序的分类量表，如非常好、好、中等、差。在比例优势的假设下，这些数据可以使用逻辑回归技术进行分析。在两种治疗的简单比较中，这种方法等同于Mann-Whitney检验。在本文中，样本量公式与最终的逻辑回归分析得出一致。类别的数量和广度对效率的影响将被审查。误分类和分层的影响进行了讨论，并给出了计算的例子。
Many clinical trials yield data on an ordered categorical scale such as very good, good, moderate, poor. Under the assumption of proportional odds, such data can be analysed using techniques of logistic regression. In simple comparisons of two treatments this approach becomes equivalent to the Mann-Whitney test. In this paper sample size formulae consistent with an eventual logistic regression analysis are derived. The influence on efficiency of the number and breadth of categories will be examined. Effects of misclassification and of stratification are discussed, and examples of the calculations are given.