I am running a Cox PH Survival analysis to determine if a biomarker is prognostic, predictive, both, or neither.
For a biomarker to be classed as prognostic, then the biomarker term must be significant. For a biomarker to be classed as predictive, the treatment:biomarker interaction term must be significant.
At the moment I'm running two models:
Prognostic model: survival (1 or 0, with 1 as death) ~ biomarker
Predictive model: survival (1 or 0, with 1 as death) ~ biomarker + treatment + biomarker:treatment
My question is - will the effect and hazard ratio for the biomarker alone (in bold) be the same in both models? If not, is it better to chose one model over another?
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written
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psyc_biostars •
1 answer
No, it will be different in both models. Also, I fail to see what is the difference between prognostic and predictive here.
Your second model is the same as ~ biomarker * treatment, by the way.
Without further information about what you're aiming to do, one cannot infer which model is 'better'.
Biostar
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