library(riskRegression)
library(prodlim)
library(pec)
library(survival)
data(Melanoma)
## fit two cause-specific Cox models
## different formula for the two causes
fit1 <- CSC(list(Hist(time,status)~sex,Hist(time,status)~invasion+epicel+age),
data=Melanoma)
print(fit1)
fit1a <- CSC(list(Hist(time,status)~sex,Hist(time,status)~invasion+epicel+age),
data=Melanoma,
survtype="surv")
print(fit1a)
## same formula for both causes
fit2 <- CSC(Hist(time,status)~invasion+epicel+age,
data=Melanoma)
print(fit2)
## combine a cause-specific Cox regression model for cause 2
## and a Cox regression model for the event-free survival:
## different formula for cause 2 and event-free survival
fit3 <- CSC(list(Hist(time,status)~sex+invasion+epicel+age,
Hist(time,status)~invasion+epicel+age),
data=Melanoma)
print(fit3)
## same formula for both causes
fit4 <- CSC(Hist(time,status)~invasion+epicel+age,
data=Melanoma,
survtype="surv")
print(fit4)
## strata
fit5 <- CSC(Hist(time,status)~invasion+epicel+age+strata(sex),
data=Melanoma,
survtype="surv")
print(fit5)
tmp <- coxph(Surv(time,status==1)~invasion+epicel+age+strata(sex),data=Melanoma)
tmp2 <- coxph(Surv(time,status==1)~invasion+epicel+age,data=Melanoma)Run the code above in your browser using DataLab