Appropriate value to replace outliers in clinical studies I am working on clinical study where I am focusing on binary classification problem.

There are few variables which has outliers.

I am trying to know which would be the right value to replace outliers in a clinical study?

Is it mean, median min,max or mode of a column of interest?

Currently I use min and max for values below and above 1.5*IQR threshold

I use IQR approach to identify outliers but would like to know how it is done usually in clinical studies?

Can anyone help me with this?
In my experience, it is more common to use all clinical data as-is for clinical studies. And if data is missing, either omit the sample or omit the variable with missing data.

If your classifier can't handle the wide variation commonly seen in clinical studies then you may want to use a classifier which is less impacted by outliers.