Annals of Internal Medicine published today a very interesting paper introducing the "E-value" as a way of assessing robustness of Relative Risk, Odds Ratios, Hazard Ratios etc which may change how we interpret and present these statistics. I'd like to hear the opinion of statisticians?
If anyone want to play with the E-value I've attached a calculator
http://annals.org/aim/article/2643434/sensitivity-analysis-observational-research-introducing-e-value
The article is not open for reading so it's hard to comment.
Usually "e value" is "expected value" so there seems to be risk of semantic confusion
And... No one accused me of being a statistician. But all these kinds of tools are dangerous in the hands of the unwary. There are ALWAYS built in assumptions such as the underlying distributions are Gaussian or some other silliness.
Dear Steven Roemerman,
You can please have the full text here. I have the full text access. However, due to the copy right issue, I will quickly take it down after a day access for this closed group. I am following the discussion. I agree with the issue of semantic confussion. Thanks.
Best,
Mihiretu
I'm interested, do you know, there are articles published with E - Value?
thank you
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