[英]Survminer, survival package: What is the difference between the “survdiff” log-rank and “regular” log-rank tests?
I am using the survminer
survival package in R. To compute p values to compare survival curves, I am using the surf_pvalue
function. 我在R中使用
survminer
生存软件包。为了计算p值以比较生存曲线,我使用了surf_pvalue
函数。
With this function, you can determine the log-rank p value in two different ways. 使用此功能,您可以通过两种不同的方法确定对数秩p值。 One is called "survdiff", the other "1" or "LR".
一个称为“ survdiff”,另一个称为“ 1”或“ LR”。 See this link for more info.
有关更多信息,请参见此链接 。 The second says that it is a "regular log-rank test, sensitive to detect late differences" , but what are the differences between the two.
第二个说这是“常规对数秩检验,对检测后期差异很敏感” ,但是两者之间有什么区别。 Does anyone know?
有人知道吗?
Thank you. 谢谢。
The methods "survdiff"
, "log-rank"
, "LR"
, "1"
all give the same results. 方法
"survdiff"
, "log-rank"
, "LR"
, "1"
都给出相同的结果。
Here is a minimal & reproducible example 这是一个最小且可重现的示例
library(survival)
library(survminer)
fit <- surv_fit(Surv(time, status) ~ sex, data = colon)
methods <- c("survdiff", "log-rank", "LR", "1")
purrr::imap(setNames(methods, methods), ~surv_pvalue(fit, method = .x))
#$survdiff
# variable pval method pval.txt
#1 sex 0.6107936 Log-rank p = 0.61
#
#$`log-rank`
# variable pval method pval.txt
#1 sex 0.6107936 Log-rank p = 0.61
#
#$LR
# variable pval method pval.txt
#1 sex 0.6107936 Log-rank p = 0.61
#
#$`1`
# variable pval method pval.txt
#1 sex 0.6107936 Log-rank p = 0.61
If we take a look at the source code of survminer
we see that 如果我们看一下
survminer
的源代码 ,我们会看到
[...]
allowed.methods <- c("survdiff", "log-rank", "LR", "1",
"n", "Gehan-Breslow", "GB",
"sqrtN", "Tarone-Ware", "TW",
"S1", "Peto-Peto", "PP",
"S2", "modified Peto-Peto", "mPP",
"FH_p=1_q=1", "Fleming-Harrington(p=1, q=1)", "FH")
method.names <- c(rep("survdiff", 4),
rep(c("n", "sqrtN", "S1", "S2", "FH_p=1_q=1"), each = 3))
[...]
All four methods are unified as method.names = "survdiff"
. 所有这四个方法都统一为
method.names = "survdiff"
。
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