A novel penalized inverse-variance weighted estimator for Mendelian randomization with applications to COVID-19 outcomes

Xu, S., Wang, P., Fung, W. K., & Liu, Z. (2022). A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 Outcomes. Biometrics, 79(3), 2184–2195. https://doi.org/10.1111/biom.13732
Authors:
Siqi Xu
Wing Kam Fung
Peng Wang
Zhonghua Liu
Affiliated Authors:
Zhonghua Liu
Columbia Affiliation:
Author Keywords:
covid-19
horizontal pleiotropy
instrumental variables
mendelian randomization
penalization
weak instruments
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Publication Type:
Article
Unique ID:
10.1111/biom.13732
PMID:
35942938
DOI:
10.1111/biom.13732
Journal:
Biometrics
Publication Date:
Data Source:
Web of Science
Source Link:
View Web of Science Record

Record Created: