Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data

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Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data

Hierarchical models such as the bivariate and hierarchical summary receiver operating characteristic (HSROC) models are recommended for meta-analysis of test accuracy studies. These models are challenging to fit when there are few studies and/or sparse data (for example zero cells in contingency tab...

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Bibliographic Details
Main Authors:	Takwoingi, Yemisi, Guo, Boliang, Riley, Richard D., Deeks, Jonthan J.
Format:	Article
Published:	Sage 2015
Subjects:	diagnostic accuracy meta-analysis hierarchical models HSROC model bivariate model sensitivity specificity diagnostic odd ration sparse data random effects
Online Access:	https://eprints.nottingham.ac.uk/31489/

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