如何计算 R 中协变量的受限平均生存时间？

Question

我正在尝试计算按协变量分组的受限平均生存时间，但出现错误。你能看看下面的代码示例代码，让我知道问题出在哪里吗？

library(survival)
library(flexsurv)

data <- survival::lung
formula <- Surv(data$time, data$status) ~data$sex
fsmodel_exponential<-flexsurvreg(formula,dist = "exp")

#Produces the expected results
rate_exponential<-fsmodel_exponential$res[1]
rmst_exp <- rmst_exp(t = 30, rate = rate_exponential, start = 0)
rmst_exp

#Gives error for the covariate
rate_exponential_sex<- fsmodel_exponential$res[2]
rmst_exp2 <- rmst_exp(t = 30, rate = rate_exponential_sex, start = 0)
rmst_exp2

Answer 1

你的fsmodel_exponential$res[2]是负数，会导致错误。在指数模型中，这些参数的协变量表示加速故障时间 (AFT) 模型。当您反转 sex 的因子水平时，您确实会得到这些结果，这会导致正的最大似然估计。

library(survival)
library(flexsurv)
data <- lung
data$sex <- relevel(factor(data$sex, labels = c("M", "F")), "F")
formula <- with(data, Surv(time, status) ~ sex)
fsmodel_exponential <- flexsurvreg(formula, dist = "exp")
rmst_exp(t = 30, rate = fsmodel_exponential$res[1], start = 0)
#> [1] 29.23162
rmst_exp(t = 30, rate = fsmodel_exponential$res[2], start = 0)
#> [1] 1.998406

plot(fsmodel_exponential, col = c("blue", "red"), 
    lwd.obs = 2, xlab = "months", ylab = "Recurrence-free survival")
legend("topright", levels(data$sex), col=c("red", "blue"), lty=1)

编辑： 要获得 RMST，只需运行:

summary(fsmodel_exponential, type = "rmst", t= 30 )
#> sex=M 
#>   time     est      lcl      ucl
#> 1   30 28.7467 28.49528 28.94901
#> 
#> sex=F 
#>   time      est      lcl      ucl
#> 1   30 29.23162 28.98571 29.40346

如何计算 R 中协变量的受限平均生存时间？

How to calculate restricted mean survival time for covariates in R?

r

survival