Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed
<p><strong>Objectives:</strong> Risk of bias assessments are important in meta-analyses of both aggregate and individual participant data (IPD). There is limited evidence on whether and how risk of bias of included studies or datasets in IPD meta-analyses (IPDMAs) is assessed. We r...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2023
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