A unification of models for meta-analysis of diagnostic accuracy studies.
By R. Harbord, J. Deeks, Matthias Egger, P. Whiting, J. Sterne. Biostatistics, 2007
703 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5d80241be7a445ce2a00c211445a485eecddcf86
How researchers see this paper
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In Statistics and Probability
- Ian R. White
- Dan Jackson
- R. Riley
- P. Whiting
- R. Harbord
- Georgia Salanti
- J. Kleijnen
- Aeilko H. Zwinderman
Citations in the corpus
- Elastography for the diagnosis of severity of fibrosis in chronic liver disease: a meta-analysis of diagnostic accuracy. (2011, methodology): “Data were combined using the hierarchical summary receiver operator characteristics (HSROC) method and the bivariate normal random-effects analysis of sensitivity and specificity within the METANDI module [6,7] in the STATA 10 statistical software (Statacorp LP, Texas, USA).”
- Metandi: Meta-analysis of Diagnostic Accuracy Using Hierarchical Logistic Regression (2009, methodology): “See Rutter and Gatsonis (2001); Reitsma et al. (2005); and Harbord et al. (2007) for information on the models with covariates, which are not currently supported by metandi.”
- Multivariate meta-analysis: Potential and promise (2011, methodology): “[32] who show that this is, under a wide range of circumstances, equivalent to the Hierarchical Summary Receiver Operating Characteristic (HSROC) model [33].”
- Use of uterine artery Doppler ultrasonography to predict pre-eclampsia and intrauterine growth restriction: a systematic review and bivariable meta-analysis (2008, methodology): “This method has been extensively described elsewhere and has been recently recommended for meta-analyses of diagnostic tests.(20,21) To estimate sensitivity and specificity with their 95% confidence intervals (CIs), we used the model with the smallest Akaike’s information criterion (a measure of the”
- Multivariate meta‐analysis: the effect of ignoring within‐study correlation (2009, methodology): “…1997; Gail et al., 2000), prognostic markers (Riley, Abrams, Lambert, Sutton and Thompson, 2007), diagnostic tests (Reitsma et al., 2005; Chu and Cole, 2006; Riley, Abrams, Sutton, Lambert and Thompson, 2007; Harbord et al., 2007) and genetic epidemiology (Thompson et al., 2005), among others.”