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...

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Bibliographic Details
Main Authors: Levis, B, Snell, KIE, Damen, JAA, Hattle, M, Ensor, J, Dhiman, P, Andaur Navarro, CL, Takwoingi, Y, Whiting, PF, Debray, TPA, Reitsma, JB, Moons, KGM, Collins, GS, Riley, RD
Format: Journal article
Language:English
Published: Elsevier 2023