Entering edit mode
6 months ago
Bine
▴
90
Good afternoon,
I have a doubt regarding a Cox model with interaction items.
I have the following variables:
gender - male/female
percentage x -low/high
gene y - continuous (gene expression of gene y)
I built the model with:
coxph(formula=Surv(PFI.t,PFI.e)=gender + percentage:gene_y, data=mydata,model=TRUE)
I then get the following summary of the model:
coef exp(coef) se(coef) z Pr(>|z|)
genderMALE 0.2958729 1.3442993 0.2234927 1.324 0.1855
percentagehigh:gene_y 0.0064450 1.0064658 0.0026070 2.472 0.0134 *
percentagelow:gene_y 0.0007183 1.0007185 0.0057817 0.124 0.9011
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
I have two questions:
1) Is my interpretation correct that with increasing gene expression of gene y the risk of dieing increases for the group high percentage
2) I would be interested to turn it around: I would like to see the results for decreasing gene expression of gene y in group high percentage and risk of dieing. How can I do that?
Thank you!