m*****e
发帖数: 13 | 1 Hi all,
I am always confused about determining K (number of free parameters) when
compute AIC for logistic regression and cox regression.
In my understanding, K = # of free parameters including the interceptor (if
available) and estimated residual error.
For logistic regression, this means K = npred + 1 + 1 (npred = number of
predictors not including the intercept);
For cox regression, this means K = npred + 1.
But this is different from SAS, which does not take into account of the
estimated res |
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