Cox regression- testing for effects
0
0
Entering edit mode
2.0 years ago
berry ▴ 30

Hi all,

I performed hierarchical clustering on my expression data, and I have 3 clusters. I also categorized available treatment types into three groups. Now I want to analyze whether one of my clusters benefit significantly from one of the three treatment types in the presence of gender, age, KPS, and MGMT status.

I ran my coxph model using R coxph function adding interaction terms as below:

coxph(Surv(OS months, eventofdeath) ~ genders + age + kps + mgmt + clusters + therapy + clusters:therapy, data = mydata)

This is my first time performing survival analysis. I am not sure if what I am doing is enough to test my model for statistical interactions and/or for effect modification. I appreciate any input from you.

survival analysis • 569 views
ADD COMMENT
1
Entering edit mode

try all the models and choose the most significant one =) (don't do this)

feature selection is an art still and there are no general recommendations for this

ADD REPLY
0
Entering edit mode

There are a lot of covariates in your model - is their respective inclusion justified? Have you followed any tutorial before doing this analysis? You mention that this is your first time performing survival analysis, but doing this requires at least some basic understanding of regression models (?)

ADD REPLY

Login before adding your answer.

Traffic: 2093 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6