Quantcast

Query in Cuminc - stratification

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

Query in Cuminc - stratification

JohnDutch

Hello everyone,
 
I am a very new user of R and I have a query about the cuminc function in the package cmprsk. In particular I would like to verify that I am interpreting the output correctly when we have a stratification variable.
 
Hypothetical example:
 
group : fair hair, dark hair
fstatus: 1=Relapse, 2=TRM, 0=censored
strata: sex (M or F)
 
Our data would be split into:
 
Fair, male, relapse
Dark,male, relapse
Fair, female, relapse
Dark, female, relapse
 
Fair, male, TRM
Dark,male, TRM
Fair, female, TRM
Dark, female, TRM
 
Fair, male, censored
Dark,male, censored
Fair, female, censored
Dark, female, censored
 
Am I correct in thinking that the 2 "Tests" which will be printed by R tell us (i) if there are significant differences between those with fair hair and those with dark hair as regards cumulative incidence of relapse [taking into account sex differences] (ii) if there are significant differences between those with fair hair and those with dark hair as regards cumulative incidence of TRM [taking into account sex differences] ? The ‘est’and ‘var’values are the same regardless of whether we include a stratification variable or not.
 
If we do not include a stratification variable the ‘tests’ results will be different to those when a stratification variable is included and they test (i) if there are significant differences between those with fair hair and those with dark hair as regards cumulative incidence of relapse (ii) if there are significant differences between those with fair hair and those with dark hair as regards cumulative incidence of TRM.
 
Just thought I’d double check.
Many thanks,
Kim


     
        [[alternative HTML version deleted]]


______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Loading...