R包survival可进行生存分析，并绘制生存曲线
install.packages("survival")
library(survival)
survival包的详细信息：https://cran.r-project.org/web/packages/survival/index.html
1. 生存时间的定义
2. 病人删失的处理
3. 注意病人状态的表示，根据survival包的说明书，bladder数据集表格，status指的是End of interval code, 0=censored, 1=recurrence,2=death from bladder disease, 3=death other/unknown cause。
4. survival包中的Surv函数，接受时间变量和事件状态变量两个参数。根据说明书描述， event这个参数：
The status indicator, normally 0=alive, 1=dead. Other choices are TRUE/FALSE (TRUE = death) or 1/2 (2=death). For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored. For multiple endpoint data the event variable will be a factor, whose first level is treated as censoring. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have an event.
下载各种数据集的临床信息，大家要注意对应好病人状态
5. GDC网站关于生存分析的介绍：
The survival analysis, which is seen in both theGeneandMutationtabs, is used to analyze the occurrence of event data over time. In the GDC, survival analysis is performed on the mortality of the cases. Thus, the values are retrieved fromGDC Data Dictionaryproperties and a survival analysis requires the following fields:
Data on the time to a particular event (days to death or last follow up).
Fields:demographic.days_to_deathordemographic.days_to_last_follow_up
Information on whether the event has occurred (alive/deceased).
Fields:demographic.vital_status
Data split into different categories or groups (i.e. gender, etc.).
Fields:demographic.gender
https://docs.gdc.cancer.gov/Data_Portal/Users_Guide/Exploration/#survival-analysis
参考：
网友评论