Random control selection for conducting high-throughput adverse drug events screening using large-scale longitudinal health data.

导出 LinkOut

翻译打印收藏纠错

作者： Chien-Wei,Chiang ^[1] ; Pengyue,Zhang ^[2] ; Macarius,Donneyong ^[3] ; You,Chen ^[4] ; Yu,Su ^[5] ; Lang,Li ^[1]

作者单位： Department of Biomedical Informatics, Ohio State University, Columbus, Ohio, USA. ^[1] Department of Biostatistics and Health Data Science, Indiana University, Bloomington, Indiana, USA. ^[2] Division of Outcomes and Translational Sciences, College of Pharmacy, Ohio State University, Columbus, Ohio, USA. ^[3] Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA. ^[4] Department of Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA. ^[5]

主题词药物副反应报告系统(Adverse Drug Reaction Reporting Systems);病例对照研究(Case-Control Studies);计算生物学(Computational Biology);女(雌)性(Female);高通量筛选分析(High-Throughput Screening Assays);人类(Humans);纵向研究(Longitudinal Studies);男(雄)性(Male);随机分配(Random Allocation);研究设计(Research Design);时间因素(Time Factors)

DOI 10.1002/psp4.12673

PMID 34313404

发布时间 2024-07-16

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2

CPT: pharmacometrics & systems pharmacology

CPT

2021年10卷9期

1032-1042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

Random control selection for conducting high-throughput adverse drug events screening using large-scale longitudinal health data.

CPT

相似文献

CPT

相关期刊

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

检索历史 清除

Random control selection for conducting high-throughput adverse drug events screening using large-scale longitudinal health data.

CPT

相似文献

CPT

相关期刊

检索历史清除