我目前正在研究显示卵巢癌每次复发后的总体生存率的Kaplan-Meier曲线。
我当前的图形如下:
已使用以下命令进行绘制:
ggsurvplot_combine(fitlistos,test6os,
risk.table = 'nrisk_cumevents',
ggtheme = theme_bw() + theme(plot.title = element_text(hjust = 0.5, face="bold"))
+ theme(legend.text = element_text(size = 6))+
theme(legend.key.size = unit(0.4, 'lines')) + theme(legend.background = element_rect(fill = "transparent"))
+ theme(legend.box.background = element_rect(fill = "transparent", colour = "transparent")),
conf.int = FALSE,
xscale ="d_m",
surv.median.line = "hv",
break.time.by = 365.242199,
xlab="Month",
ylab="Survival Propability",
risk.table.title = "Number at risk",
title = "Overall Survival after each relapse",
font.main = c("16", "bold", "Black"),
font.x = c("12", "bold"),
font.y = c("12", "bold"),
legend.labs =c("OS median OS","1st relapse OS","2nd relapse OS","3rd relapse OS","4th relapse OS","5th relapse OS","6th relapse OS"),
legend.title = element_blank(),
legend = c(0.6,0.8),)
我对此很感兴趣
来自:二线至六线治疗对原发紫杉烷/铂基治疗后复发性卵巢癌生存的影响
问题是,我找不到一种简单的方法,图例引用了用于曲线的残差中的数据。
感谢您的帮助
问候
托比亚斯·伯格