A p-value of 0.01 would be highly significant, for example, much more so than 0.05 -- which, while still significant, is obviously a much less significant figure.

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First, a little (we promise) statistics. At its very simplest, the p-value is what researchers use to assess the likelihood that, if a given result — the effect of a new medication, for example ...

P-values have taken quite a beating lately. These widely used and commonly misapplied statistics have been blamed for giving a veneer of legitimacy to dodgy study results, encouraging bad research ...

Mingfeng Lin, Henry C. Lucas Jr., Galit Shmueli, Research Commentary: Too Big to Fail: Large Samples and the p-Value Problem, Information Systems Research, Vol. 24 ...

In this short video, @damiangarde explains what p-value is, how it is used, and why it is still considered the gold standard for statistical significance in clinical trials.