run_survival: Run survival analysis

View source: R/survival.R

run_survivalR Documentation

Run survival analysis

Description

Run survival analysis

Usage

run_survival(time, censor, arm, control = NA, conf_level)

Arguments

time

time to event data

censor

indicator for censor or event, 0 = censored, 1 = event

arm

indicator for arm. Has to be at least two arms

control

the name of the control arm

conf_level

The confidence level to calculate for estimated hazard ratio

Value

a data frame containing results of sample size, p-value, decision, number of events, hazard ratio with 95% confidence interval, median survival, median follow-up, ect

Examples

rand_arm(nsbj = 1, ratio = c(1, 1))
time <- c(5.68, 0.34, 4.94, 1.49, 4.72, 1.32, 3.48, 3.42, 3.41, 2.93)
censor <- c(0, 0, 0, 1, 0, 1, 0, 0, 0, 1)
arm <- c("arm_1", "arm_2", "arm_1", "arm_2", "arm_2", "arm_1", "arm_2", "arm_1", "arm_1", "arm_2")
control <- "arm_1"
res1 <- run_survival(time, censor, arm, control = "arm_1", conf_level = 0.95)


zhuob/R4ClinicalTrial documentation built on June 2, 2025, 1:17 a.m.