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Two-stage randomized trials: Outstanding issues

机译:两阶段随机试验:出色的问题

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Tamura et al. [1] wrote a nice article describing a two-stage randomized design. Some collaborators and I described a rather similar design in the literature [2], but there were some issues with conducting an exact analysis of the data arising from such a design. Because the various stages are conducted to address similar, if not identical, questions, it makes sense to conduct a single comprehensive analysis, rather than separate analyses by stage. As is well known, exact analyses for randomized trials are conditional permutation tests [3]. Conducting permutation tests in the simplest case of a single 2 x 2 contingency table involves fixed margins, and the cell counts are permuted in all possible ways to keep the margins fixed. With a 2 x 2 table, there is but one degree of freedom which, for convenience, we may define as the number of placebo nonresponders. Call this quantity X. In the first stage, X is a random quantity that will vary across the permutations.
机译:Tamura等人。 [1]写了一篇文章,描述了一个两阶段随机设计。 一些合作者和我在文献中描述了一种相当类似的设计[2],但是对这种设计产生的数据进行了精确分析,存在一些问题。 因为各个阶段进行了类似,如果没有相同的问题,则进行单一综合分析,而不是通过阶段分离分析是有意义的。 众所周知,随机试验的精确分析是条件排列测试[3]。 在单个2×2次差价表的最简单情况下进行置换测试涉及固定边距,并且以所有可能的方法允许细胞计数以保持边缘固定。 使用2 x 2表,为方便起见,有一定程度的自由度,我们可以定义安慰剂无回应者的数量。 调用此数量X.在第一阶段,X是随机数量,可在排列中变化。

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