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Kaplan-Meier多组比较_R_Survival Analysis - Fatal编程技术网

Kaplan-Meier多组比较

Kaplan-Meier多组比较,r,survival-analysis,R,Survival Analysis,假设我有以下数据帧 library(survival) library(multcomp) data(cml) cml$group<-sample(1:5, 507, replace=T) plot(survfit(Surv(time=cml$time, cml$status)~cml$group)) (survdiff(Surv(time=cml$time, cml$status)~cml$group)) 库(生存) 图书馆(multcomp) 数据(cml) cml$groupmul

假设我有以下数据帧

library(survival)
library(multcomp)
data(cml)
cml$group<-sample(1:5, 507, replace=T)
plot(survfit(Surv(time=cml$time, cml$status)~cml$group))
(survdiff(Surv(time=cml$time, cml$status)~cml$group))
库(生存)
图书馆(multcomp)
数据(cml)

cml$groupmultcomp的generalsiminf.pdf中有一个例子。这里简化

library(multcomp)
library(survival)
if (!file.exists("AML_Bullinger.rda"))
  load(url("http://www.stat.uni-muenchen.de/~hothorn/data/AML_Bullinger.rda", open = "r"))
risk <- rep(0, nrow(clinical))
rlev <- levels(clinical[, "Cytogenetic.group"])
risk[clinical[, "Cytogenetic.group"] %in% rlev[c(7,8,4)]] <- "low"
risk[clinical[, "Cytogenetic.group"] %in% rlev[c(5, 9)]] <- "intermediate"
risk[clinical[, "Cytogenetic.group"] %in% rlev[-c(4,5, 7,8,9)]] <- "high"
risk <- as.factor(risk)
names(clinical)[6] <- "FLT3"
save(clinical,file="AML_Bullinger.rda")
smod <- survreg(Surv(time, event) ~ Sex + Age + WBC+risk,
                 data = clinical)
summary(glht(smod, linfct = mcp(risk = "Tukey")))
库(multcomp)
图书馆(生存)
如果(!file.exists(“AML_Bullinger.rda”))
加载(url)http://www.stat.uni-muenchen.de/~hothorn/data/AML_Bullinger.rda“,open=“r”))

风险multcomp的generalsiminf.pdf中有一个例子。这里简化

library(multcomp)
library(survival)
if (!file.exists("AML_Bullinger.rda"))
  load(url("http://www.stat.uni-muenchen.de/~hothorn/data/AML_Bullinger.rda", open = "r"))
risk <- rep(0, nrow(clinical))
rlev <- levels(clinical[, "Cytogenetic.group"])
risk[clinical[, "Cytogenetic.group"] %in% rlev[c(7,8,4)]] <- "low"
risk[clinical[, "Cytogenetic.group"] %in% rlev[c(5, 9)]] <- "intermediate"
risk[clinical[, "Cytogenetic.group"] %in% rlev[-c(4,5, 7,8,9)]] <- "high"
risk <- as.factor(risk)
names(clinical)[6] <- "FLT3"
save(clinical,file="AML_Bullinger.rda")
smod <- survreg(Surv(time, event) ~ Sex + Age + WBC+risk,
                 data = clinical)
summary(glht(smod, linfct = mcp(risk = "Tukey")))
库(multcomp)
图书馆(生存)
如果(!file.exists(“AML_Bullinger.rda”))
加载(url)http://www.stat.uni-muenchen.de/~hothorn/data/AML_Bullinger.rda“,open=“r”))

非常感谢。我有一个问题。survreg符合参数生存回归模型。我拥有的是简单的知识管理分析估算。我可以使用survreg和multicomp对KM估计值进行多重比较吗?很好。我不知道KM多个测试包,但如果这是严重的,我可能会去Bayes(如果您的老板/编辑允许)试试。这个问题当然是正确的。让我们看看会发生什么。非常感谢你。我有一个问题。survreg符合参数生存回归模型。我拥有的是简单的知识管理分析估算。我可以使用survreg和multicomp对KM估计值进行多重比较吗?很好。我不知道KM多个测试包,但如果这是严重的,我可能会去Bayes(如果您的老板/编辑允许)试试。这个问题当然是正确的。让我们看看会发生什么。