Using data fusion with multiple imputation to correct for misclassification in self-reported exposure: a case-control study of cannabis use and homicide victimization

Lee, S., Li, G., Chihuri, S., Yu, Y., & Chen, Q. (2024). Using data fusion with multiple imputation to correct for misclassification in self-reported exposure: a case-control study of cannabis use and homicide victimization. Injury Epidemiology, 11(1). https://doi.org/10.1186/s40621-024-00545-x
Authors:
Seonghun Lee
Guohua Li
Stanford Chihuri
Yuanzhi Yu
Qixuan Chen
Affiliated Authors:
Seonghun Lee
Guohua Li
Stanford Chihuri
Yuanzhi Yu
Qixuan Chen
Columbia Affiliation:
Author Keywords:
alcohol use
cannabis use
data integration
missing at random
multiple imputation
national surveys
stratified bootstrapping
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Publication Type:
Article
Unique ID:
10.1186/s40621-024-00545-x
PMID:
39443967
DOI:
10.1186/s40621-024-00545-x
Journal:
Injury Epidemiology
Publication Date:
Data Source:
PubMed
Source Link:
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