This paper considers the problem of obtaining a dynamic prediction for 5-year failure free survival after bone marrow transplantation in ALL patients using data from the EBMT, the European Group for Blood and Marrow Transplantation. The paper compares the new landmark methodology as developed by the first author and the established multi-state modeling as described in a recent Tutorial in Biostatistics in Statistics in Medicine by the second author and colleagues. As expected the two approaches give similar results. The landmark methodology does not need complex modeling and leads to easy prediction rules. On the other hand, it does not give the insight in the biological processes as obtained for the multi-state model.

译文

本文考虑了使用欧洲血液和骨髓移植组EBMT的数据获得所有患者骨髓移植后5年无失败生存率的动态预测的问题。本文比较了第一作者开发的新地标方法和第二作者及其同事最近在医学统计学中的生物统计学教程中描述的已建立的多状态建模。不出所料,这两种方法给出了相似的结果。具有里程碑意义的方法不需要复杂的建模,并且可以简化预测规则。另一方面,它没有像多状态模型那样提供对生物过程的洞察力。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录