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发帖数: 44 | 1 Hi, I am trying to make a survival analysis on some right censored data
using parametric survival model (proc lifereg in SAS). It seems to me that
the only modeling adequacy tests only focus on the which distribution fits
the data better. Is it appropriate to do modeling validation test by fitting
modeling on partial of data (ex. 70% of data) and then using the model
parameter estimates to calculate the estimated survival time using the rest
30% of data to check the residuals? But it is said if there are a lot of
data points got (right) censored, the estimated survival time may very
deviate from the observed survival time. If it is a case, then the above
model validation test may not show a good fitness of the model to the data.
Would any one give any suggestion on model validation in such case? Thanks
in advance. |
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