日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Optimal Surrogate-Assisted Sampling for Cost-Efficient Validation of Electronic Health Record Outcomes

利用替代指标辅助抽样实现电子健康记录结果的成本效益验证

Marks-Anglin, Arielle; Chen, Jianmin; Luo, Chongliang; Hubbard, Rebecca; Chen, Yong

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints

置信度评分:一种基于数据的、适用于纳入未发表预印本的系统评价的指标

Tong, Jiayi; Luo, Chongliang; Sun, Yifei; Duan, Rui; Saine, M Elle; Lin, Lifeng; Peng, Yifan; Lu, Yiwen; Batra, Anchita; Pan, Anni; Wang, Olivia; Li, Ruowang; Marks-Anglin, Arielle; Yang, Yuchen; Zuo, Xu; Liu, Yulun; Bian, Jiang; Kimmel, Stephen E; Hamilton, Keith; Cuker, Adam; Hubbard, Rebecca A; Xu, Hua; Chen, Yong

Survival analysis under imperfect record linkage using historic census data

利用历史人口普查数据进行不完全记录链接下的生存分析

Marks-Anglin, Arielle K; Barg, Frances K; Ross, Michelle; Wiebe, Douglas J; Hwang, Wei-Ting

Economic Impact of Postoperative Urinary Retention in the US Hospital Setting

美国医院环境中术后尿潴留的经济影响

Wang, Weijia; Marks-Anglin, Arielle; Turzhitsky, Vladimir; Mark, Robert J; Otero Rosales, Aurelio; Bailey, Nathaniel W; Jiang, Yiling; Abueg, Joseph; Hofer, Ira S; Weingarten, Toby N

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

DLMM 作为一种无损的单次算法,用于协作式多站点分布式线性混合模型

Luo, Chongliang; Islam, Md Nazmul; Sheils, Natalie E; Buresh, John; Reps, Jenna; Schuemie, Martijn J; Ryan, Patrick B; Edmondson, Mackenzie; Duan, Rui; Tong, Jiayi; Marks-Anglin, Arielle; Bian, Jiang; Chen, Zhaoyi; Duarte-Salles, Talita; Fernández-Bertolín, Sergio; Falconer, Thomas; Kim, Chungsoo; Park, Rae Woong; Pfohl, Stephen R; Shah, Nigam H; Williams, Andrew E; Xu, Hua; Zhou, Yujia; Lautenbach, Ebbing; Doshi, Jalpa A; Werner, Rachel M; Asch, David A; Chen, Yong

Accounting for publication bias using a bivariate trim and fill meta-analysis procedure

使用双变量修剪填充法进行荟萃分析以消除发表偏倚

Luo, Chongliang; Marks-Anglin, Arielle; Duan, Rui; Lin, Lifeng; Hong, Chuan; Chu, Haitao; Chen, Yong

Rapid network meta-analysis using data from Food and Drug Administration approval packages is feasible but with limitations

利用美国食品药品监督管理局(FDA)审批文件的数据进行快速网络荟萃分析是可行的,但存在一些局限性。

Wang, Lin; Rouse, Benjamin; Marks-Anglin, Arielle; Duan, Rui; Shi, Qiyuan; Quach, Kevin; Chen, Yong; Cameron, Christopher; Schmid, Christopher H; Li, Tianjing