The smaller the p-value, the higher the likelihood ratio: true or false?
[This article was first published on Shravan Vasishth's Slog (Statistics blog), and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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[Thanks to Scott Glover for correcting me.] Someone recently said to me that the lower the p-value, the higher the likelihood ratio under the alternative vs the null. The arXiv paper by Michael Lew makes analogous points (thanks to Titus von der Malsburg for pointing me to this paper).Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I show below why this fact is irrelevant. The problem lies again with Type M errors under low power. The bottom line is: should I care about a significant result if it is based on an overestimate of the true mean, i.e., if it is based on a biased estimate of the true mean?
Here is the blog post.
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