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Article

Evaluation of imputation strategies for multi-centre studies: Application to a large clinical pathology dataset

2024-11-15

Abstract excerpt

<title>Abstract</title> <p>As part of a strategy for accommodating missing data in large heterogeneous datasets, two Random Forest-based (RF) imputation methods, missForest and MICE were evaluated along with several strategies to help them handle the inherent structure of the dataset. <h4>Background:</h4> A total of 3817 complete cases of clinical chemistry variables from a large-scale, multi-site preclinical lon...

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Literature Corpus work
8668ec9d-6c04-5011-9f6d-b82443a9e93e
DOI
10.21203/rs.3.rs-5308928/v1
Open publication

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Evaluation of imputation strategies for multi-centre studies: Application to a large clinical pathology datasetDOI 10.21203/rs.3.rs-5308928/v1
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