首页> 外文期刊>Communications in Statistics >Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials Ⅵ and Ⅶ
【24h】

Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials Ⅵ and Ⅶ

机译:在国际乳腺癌研究组试验Ⅵ和survival的生存分析中,将缺失的生活质量数据作为协变量估算

获取原文
获取原文并翻译 | 示例

摘要

Quality of life (QoL) was an important endpoint in the adjuvant breast cancer trials International Breast Cancer Study Group (IBCSG) Trial VI and VII. Here, QoL was considered as a time-dependent effect. The hypothesis explored is that poorer QoL throughout the trial is associated with poorer disease-free survival (DFS) and vice-versa. Potential bias in the parameter estimates is an important concern associated with missing observations. Standard simple and multiple imputation methods were applied to missing QoL assessments before analysis in a time-dependent Cox model. There was no evidence that the patient's QoL is related to the patient's DFS.
机译:生活质量(QoL)是辅助乳腺癌试验国际乳腺癌研究组(IBCSG)第六和第七试验的重要终点。在这里,QoL被认为是时间依赖性的。探索的假设是,整个试验中较差的QoL与较差的无病生存期(DFS)相关,反之亦然。参数估计中的潜在偏差是与缺少观测值相关的重要问题。在基于时间的Cox模型中进行分析之前,将标准的简单插补方法和多插补方法应用于缺失的QoL评估。没有证据表明患者的QoL与患者的DFS有关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号