Hello,
I have problems with high correlated factors:
I am working with censored data and I am looking for the factors (clinical
or genetic) the most important for the survival of the patient.
What can I do when two factors are highly correlated (|Pearson coeff|>=0.7),
and when I see that they both have an effect on survival?(in univariate
analysis like Kaplan Meier)
How can I know which one is really important for survival (I mean, which is
the cause), and which one is just related to survival because of the
correlation with the first factor (I mean, which is the consequence)?
Thanks for help
ML. APPERT
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