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3 votes

How to decide better threshold values for variables with skewed distributions

Thresholding of input variables is never appropriate. That’s because thresholding loses information, is arbitrary, and most importantly, gives the wrong answer. The latter problem is due to the fact ...
Frank Harrell's user avatar
0 votes

How to decide better threshold values for variables with skewed distributions

Leaving behind the disadvantages of categorizing continuous variables, a common way to find thresholds is based on the quantiles of the distribution. By using quantiles, you look at the mass of your ...
Mathemagician777's user avatar
0 votes

Tukey's IQR-method for outliers and highly skewed data

All statistical methods of identifying outliers are deeply flawed. They may be useful for showing you some points that you might look at, but they should never be used to automatically delete points. ...
Peter Flom's user avatar
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1 vote

Mean difference between four groups with

I'm not sure if I understand the reason why exactly you can only use that mean, but let's just focus on the problem that you just have 4 numbers and want to see the difference between those 4. If you ...
Mathemagician777's user avatar

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