Hello,
I performed a multivariate cox analysis using the following command for a single X gene(I am not very sure of my command ).
coxtest <- coxph(Surv(daysToDeath_cox, vitalStatus_cox) ~ DEG + ajcc_pathological_stage + gender + cigarette)
I got this result, someone can show me how I can interpret this, what can I say about the prognostic effect of this gene
Thank you!
How was vitalStatus_cox coded? Assuming that death = 1 and censored = 0, this data shows that the risk associated with DEG is 0.93345 times the baseline risk (i.e. the risk of dying is slightly less), all other variables being the same. Along the same lines, ajcc_pathological_stageStage III increases risk 4.3023 times compared to baseline (Stage 0?), all other variables being the same. The risk associated with being male is 1.31453 times that of being female, all other variables being the same. That said, if you use a p-value cutoff of 0.05, none of these variables are statistically significant.
Thank you,
I have coded vital status like this :
nonComplt_cox <- is.na(daysToDeath_cox)
vitalStatus_cox <- as.numeric(ifelse(nonComplt_cox, 0, 1))
Assuming that it is statistically significant and that DEG is the expression of gene x, can we say that this (gene x) has a prognostic effect in these cancer data during stage 2 etc.?
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