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

Cannabis use is a major risk factor for homicide victimization. The data fusion with MI method is useful in integrative data analysis for harmonizing measures between different data sources.

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Publication Details

Journal
Injury Epidemiology
Published
2024-10-23
DOI
https://doi.org/10.1186/s40621-024-00545-x
Citations
1
Primary Topic
Cannabis and Cannabinoid Research
Type
article
Field-Weighted Citation Impact
0.45

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article

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

Yuanzhi Yu, Qixuan Chen, Stanford Chihuri, S. Y. Lee et al.
1 citations
Injury Epidemiology
Cannabis and Cannabinoid Research
0.45
article

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

Yuanzhi Yu, Qixuan Chen, Stanford Chihuri, S. Y. Lee, Guohua Li
article en
1 citations

Abstract

Cannabis use is a major risk factor for homicide victimization. The data fusion with MI method is useful in integrative data analysis for harmonizing measures between different data sources.

Injury EpidemiologyVol. 11(1)
Northwestern University (US), Nathan Kline Institute for Psychiatric Research (US), Columbia University (US)
National Institutes of Health, Centers for Disease Control and Prevention
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Cannabis and Cannabinoid Research
0.45
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