Machine learning methods to predict unmeasured confounders in claims data: A real-world application

被引：0
|
作者：
Albogami, Yasser [1 ,2 ]
Daniels, Michael J. [3 ]
Wei, Yu-Jung [1 ]
Cusi, Kenneth [4 ]
Winterstein, Almut G. [1 ]
机构：
[1] Univ Florida, Dept Pharmaceut Outcomes & Policy, Gainesville, FL USA
[2] King Saud Univ, Clin Pharm Dept, Riyadh, Saudi Arabia
[3] Univ Florida, Dept Stat, Gainesville, FL 32611 USA
[4] Univ Florida, Coll Med, Gainesville, FL USA
来源：
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY | 2020年 / 29卷
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D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
5060
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页码：413 / 414
页数：2
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