Improving the reporting of P-values generated by randomization methods
Improving the reporting of P-values generated by randomization methods
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DOI：
10.1111/2041-210x.12102
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发表时间：
2013-11-01
影响因子：
6.6
通讯作者：
Neuhaeuser, Markus
中科院分区：
文献类型：
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作者：
Ruxton, Graeme D.;Neuhaeuser, Markus
1. 我们越来越多地使用随机化方法来计算p值。通常，为了获得精确的p值，不可能考虑对所有可能的样本（例如排列或自举）进行全面评估，因此可以在这些可能样本的随机样本中计算近似p值。我们提供了一些方法，使这种近似所带来的不确定性能够简洁而清晰地呈现出来。如果这里提出的建议被采纳，那么越来越多使用这些方法的出版物的审稿人和读者将得到更好的信息。
1. We increasingly calculate P-values using randomization approaches.2. Often, it is not possible to consider full evaluation of all possible samples (e.g. permutations or bootstraps) in order to get an exact P-value, so an approximate P-value is calculated across a random sample of these possible samples.3. We provide methods that allow the uncertainty introduced by this approximation to be compactly and clearly presented.4. If the recommendations proposed here are adopted, then reviewers and readers of the increasing number of publications using these approaches will be better informed.