What is it about?
P-values may be over and misused but if there is a replication crisis in science, abandoning them would not solve it. As one of many ways of Looking at data they have their uses.
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Why is it important?
I show that false and pointless distinctions are made between sugnificance and hypothesis tests. P-values aren't great but any system of inference faces problems as soon as claims of unique relevance are made for it.
Perspectives
A lot of ink has been wasted on this topic & it appears I am doomed to being a serial waster.
Professor Stephen J Senn
Consultant Statistician
Read the Original
This page is a summary of: Contribution to the discussion of ‘“A critical evaluation of the current p
-value controversy”’, Biometrical Journal, April 2017, Wiley,
DOI: 10.1002/bimj.201700032.
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