Xunivcoxph | R Documentation |
Concatenates hazard ratios and confidence limits for every covariate in a Cox model.
Xunivcoxph(mod, digits = 3)
mod |
model fit object, returned from either |
digits |
number of digits to round |
Hazard ratio and 95/% confidence interval
Aline Talhouk, Derek Chiu
library(survival)
library(coxphf)
# One predictor
test1 <- list(
time = c(4, 3, 1, 1, 2, 2, 3),
status = c(1, 1, 1, 0, 1, 1, 0),
x = c(0, 2, 1, 1, 1, 0, 0),
sex = c(0, 0, 0, 0, 1, 1, 1)
)
mod <- coxph(Surv(time, status) ~ x + strata(sex), test1)
Xunivcoxph(mod)
# Multiple predictors
bladder1 <- bladder[bladder$enum < 5, ]
mod <- coxph(Surv(stop, event) ~ (rx + size + number) * strata(enum) +
cluster(id), bladder1)
Xunivcoxph(mod, digits = 2)
# Firth's correction
test2 <- data.frame(list(
start = c(1, 2, 5, 2, 1, 7, 3, 4, 8, 8),
stop = c(2, 3, 6, 7, 8, 9, 9, 9, 14, 17),
event = c(1, 1, 1, 1, 1, 1, 1, 0, 0, 0),
x = c(1, 0, 0, 1, 0, 1, 1, 1, 0, 0)
))
mod <- coxphf(formula = Surv(start, stop, event) ~ x, pl = FALSE,
data = test2)
Xunivcoxph(mod)
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