首页> Biostatistics> Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research

Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research

导出原文传递

翻译打印收藏纠错

作者： Antonelli, Joseph ^[1] ; Zigler, Corwin ^[1] ; Dominici, Francesca ^[1]

作者单位： Harvard TH Chan Sch Publ Hlth, Dept Biostat, 655 Huntington Ave, Boston, MA 02115 USA ^[1]

关键词 Bayesian data augmentation Model averaging Missing data Bayesian adjustment for confounding Confounder selection

发布时间 2018-02-02

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Biostatistics

2017年18卷3期

553-568页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research

Biostatistics

相似文献

Biostatistics

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Guided Bayesian imputation to adjust for confounding when combining heterogeneous data sources in comparative effectiveness research

Biostatistics

相似文献

Biostatistics

相关期刊

检索历史清除