Dear All,
the patient risk score could be calculated by the weighted linear combination of variables with estimated coefficients (linear.predictors returned by coxph). if the linear predictor is greater than 0, the risk score is high and low in the opposite case. however, I don't find the coherence for my data according to this definition

Did I take some thing wrong in the definition?

the linear predictors of the first 5 patients
cox.dt$linear.predictors[1:5]
[1]  0.5374888 -4.5403035  1.7174977  0.9651050  0.3022809

the survival time of the first 5 patients 
> dtSurv[1:5]
[1] 54 52 30 46  8

survival of 54, 46 and 8 months have positive and between 0 and 1 score while 52 months has a negative score. which is contradictory

thanks in advance

carol
 
 
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