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Results tagged with survival
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user 302137
Survival analysis models time to event data, typically time to death or failure time. Censored data are a common problem for survival analyses.
1
vote
1
answer
65
views
P-value adjustment for different classes each tested individually
Especially that survival analysis consists of disease-free and overal survival. … Should I adjust for all measurements or can I consider GBM/LGG separately or overall survival/disaase-free-survival separatey (so that I get a significant adjusted p-value? ) …
- 137
0
votes
0
answers
80
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Survival's Risk score in R
library (survival)
coxph(Surv(time, status) ~ factor(ph.ecog)+factor(sex)+ factor(age>median(lung$age)), data=lung)
#Call:
#coxph(formula = Surv(time, status) ~ factor(ph.ecog) + factor(sex) +
# factor …
- 137
3
votes
1
answer
801
views
Comparing 2 sets of different survival predictors
I have different predictors for survival data. How can I compare which predictor set would act as the better set? In other words, how can I compare "albumin" vs "sex+age" below? … Comparison of Cox models
library(survival)
data(pbc)
pbc <- within(pbc, {
event <- as.numeric(status %in% c(1,2))# transplant(1) and death(2) are considered events n marked 1
Surv <- Surv(time …
- 137