--- title: timeROC绘图记录 tags: [] id: '1988' categories: - - uncategorized date: 2022-08-19 05:55:03 --- ## 多变量 ```R library(survival) library(car) library(rms) library(pROC) library(timeROC) library(ggDCA) library(survivalROC) library(pec) require(ggsci) library(scales) library(nomogramFormula) library(survIDINRI) dat <- readRDS('dat.rds') f_timeROC <-function(dat, geneNs){ coxmf2 <- paste0("Surv(time, status==1)~", paste(paste('`',geneNs,'`',sep = ''), collapse = '+')) f2 <- cph(formula(coxmf2), data=dat, x=T, y=T, surv = T) # 构建COX比例风险模型 years2 <- timeROC(T=dat$time,delta=dat$status, marker=predict(f2,type="lp",newdata=dat),cause=1, weighting="marginal", # other_markers=as.matrix(df$`1-year`), times=12*c(1,3,5), ROC=T, iid=T) auc2.ci <- confint(years2, parm=NULL, level = 0.95,n.sim=2000) auc2.ci <- auc2.ci$CI_AUC auc2.ci years2.auc1 <- paste0(round(years2$AUC[1],4)*100,'(',auc2.ci[1,1],'~',auc2.ci[1,2],')%') years2.auc2 <- paste0(round(years2$AUC[2],4)*100,'(',auc2.ci[2,1],'~',auc2.ci[2,2],')%') years2.auc3 <- paste0(round(years2$AUC[3],4)*100,'(',auc2.ci[3,1],'~',auc2.ci[3,2],')%') res <- list(roc=years2, auc1=years2.auc1, auc2=years2.auc2, auc3=years2.auc3) res } options(repr.plot.width=8, repr.plot.height=8) tmp <- f_timeROC(dat, 'Risk_Score') plot(tmp$roc,time=12*1,title="Time dependent ROC",col="#BC3C29FF") plot(tmp$roc,time=12*3,add=T,col="#0072B5FF") plot(tmp$roc,time=12*5,add=T,col="#E18727FF") legend("bottomright",c(paste("AUC of 1-year =",tmp$auc1), paste("AUC of 3-year =",tmp$auc2), paste("AUC of 5-year =",tmp$auc3)), col=c("#BC3C29FF","#0072B5FF","#E18727FF"),lty=1,lwd=2) ``` ## 单变量 ```R f_timeROC_one <-function(dat, geneN){ years2 <- timeROC(T=dat$time,delta=dat$status, marker=dat[[geneN]],cause=1, weighting="marginal", # other_markers=as.matrix(df$`1-year`), times=12*c(1,3,5), ROC=T, iid=T) auc2.ci <- confint(years2, parm=NULL, level = 0.95,n.sim=2000) auc2.ci <- auc2.ci$CI_AUC auc2.ci years2.auc1 <- paste0(round(years2$AUC[1],4)*100,'(',auc2.ci[1,1],'~',auc2.ci[1,2],')%') years2.auc2 <- paste0(round(years2$AUC[2],4)*100,'(',auc2.ci[2,1],'~',auc2.ci[2,2],')%') years2.auc3 <- paste0(round(years2$AUC[3],4)*100,'(',auc2.ci[3,1],'~',auc2.ci[3,2],')%') res <- list(roc=years2, auc1=years2.auc1, auc2=years2.auc2, auc3=years2.auc3) res } dat$PATH_T_STAGE <- factor(dat$PATH_T_STAGE, ordered = T) dat$PATH_T_STAGE <- as.numeric(dat$PATH_T_STAGE) options(repr.plot.width=8, repr.plot.height=8) tmp <- f_timeROC_one(dat, 'PATH_T_STAGE') plot(tmp$roc,time=12*1,title="Time dependent ROC",col="#BC3C29FF") plot(tmp$roc,time=12*3,add=T,col="#0072B5FF") plot(tmp$roc,time=12*5,add=T,col="#E18727FF") legend("bottomright",c(paste("AUC of 1-year =",tmp$auc1), paste("AUC of 3-year =",tmp$auc2), paste("AUC of 5-year =",tmp$auc3)), col=c("#BC3C29FF","#0072B5FF","#E18727FF"),lty=1,lwd=2) ```