Hi guys,
I have been testing the hypothesis for difference of survival between four
different classes. The p-values provided in coxph output are confusing for me
to interpret.
Here is the output :
sur<-coxph(Surv(SURVIV, status == 1)~factor(A)+cluster(rownames(d)), data = d,
model=TRUE)
Call:
coxph(formula = Surv(SURVIV, status == 1) ~ factor(A) + cluster(rownames(d)),
data = d, model = TRUE)
coef exp(coef) se(coef) robust se z p
A2 -15.438 1.97e-07 3842.826 1.022 -15.112 0.0000
A3 0.471 1.60e+00 0.615 0.564 0.835 0.3000
A4 1.550 4.71e+00 0.547 0.551 2.811 0.0039
Likelihood ratio test=6.73 on 3 df, p=0.0811 n=171
---
In above result, I can see that overall p-value from LR test is
non-significant. But the p-values for two groups(A2 and A4) are significant.
I have three questions:
Can anyone help me whether this points to any significant interpretation ?
Is it okay to ignore the overall p-value ?
Please also let me know if you have got some more suggestions to improve the
result.
Thanks,
-V
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