摘要
同时考虑某事件发生与否和发生该事件所经历时长的数据称为生存数据。由于多数生存资料分布不规则,生存分析常采用Kaplan-Meier法;但已发表研究通常仅报告Kaplan-Meier曲线和中位生存时间,无法直接提供原始生存数据,给后续二次研究带来不便。本研究探讨使用图像处理软件和R软件对已有的KaplanMeier曲线进行处理并从中提取生存数据的系统化方法,并通过实例演示获取生存数据的具体步骤,同时验证该提取方法的准确性和可行性,为生存资料的有效二次利用提供参考。
Survival data include the occurrence and duration of an event.As most survival data are distributed irregularly,the Kaplan-Meier method is often used in survival analysis;however,studies usually only report the KaplanMeier curve and median survival time and do not provide the original survival data,which creates issues for subsequent secondary research.This study introduced a systematic method whereby image processing software and R software were used to process and extract survival data from published Kaplan-Meier curves.It also introduced the specific steps required to obtain survival data using an example to show the accuracy and feasibility of the extraction method and provided references for the effective secondary use of survival data.
作者
赵恩慧
黄丽红
ZHAO Enhui;HUANG Lihong(School of Public Health,Fudan University,Shanghai 200032,P.R.China;Department of Biostatistics,Zhongshan Hospital,Fudan University,Shanghai 200032,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2022年第11期1358-1364,共7页
Chinese Journal of Evidence-based Medicine
