Implementing multiple imputations for addressing missing data in multireader multicase design studies

Within MRMC design settings, the adoption of an MI-MRMC approach in the face of missing data can facilitate the attainment of unbiased and robust estimates of diagnostic capability.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2024-09-27
DOI
https://doi.org/10.1186/s12874-024-02321-3
Citations
1
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
0.49

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article

Implementing multiple imputations for addressing missing data in multireader multicase design studies

Yingyi Qin, Qian He, Xiaoping Yin, Zhemin Pan et al.
1 citations
BMC Medical Research Methodology
Optimal Experimental Design Methods
0.49
article

Implementing multiple imputations for addressing missing data in multireader multicase design studies

Yingyi Qin, Qian He, Xiaoping Yin, Zhemin Pan, Jia He, Wangyang Bai
article en
1 citations

Abstract

Within MRMC design settings, the adoption of an MI-MRMC approach in the face of missing data can facilitate the attainment of unbiased and robust estimates of diagnostic capability.

BMC Medical Research MethodologyVol. 24(1)
Tongji University (CN), Second Military Medical University (CN), Affiliated Hospital of Hebei University (CN), Yangpu Hospital of Tongji University (CN)
Shanghai Municipal Health Commission, Jilin University, Peking University, Hebei University, Peking University People's Hospital
Openalex Percentile: Top 31%
Optimal Experimental Design Methods
0.49
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