Journal article
A comparison of bivariate, multivariate random-effects, and Poisson correlated gamma-frailty models to meta-analyze individual patient data of ordinal scale diagnostic tests
G Simoneau, B Levis, P Cuijpers, JPA Ioannidis, SB Patten, I Shrier, CH Bombardier, F de Lima Osório, JR Fann, D Gjerdingen, F Lamers, M Lotrakul, B Löwe, J Shaaban, L Stafford, HCPM van Weert, MA Whooley, KA Wittkampf, AS Yeung, BD Thombs Show all
Biometrical Journal | WILEY | Published : 2017
Abstract
Individual patient data (IPD) meta-analyses are increasingly common in the literature. In the context of estimating the diagnostic accuracy of ordinal or semi-continuous scale tests, sensitivity and specificity are often reported for a given threshold or a small set of thresholds, and a meta-analysis is conducted via a bivariate approach to account for their correlation. When IPD are available, sensitivity and specificity can be pooled for every possible threshold. Our objective was to compare the bivariate approach, which can be applied separately at every threshold, to two multivariate methods: the ordinal multivariate random-effects model and the Poisson correlated gamma-frailty model. Ou..
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Awarded by Institute of Neurosciences, Mental Health and Addiction
Funding Acknowledgements
The authors thank three anonymous reviewers and the co-Editors for their comments and suggestions that led to an improved paper. We acknowledge the Canadian Institutes of Health Research (CIHR) for sponsoring this work (KRS-134297). Ms. Levis was supported by a CIHR Frederick Banting and Charles Best Canadian Graduate Scholarships doctoral award. Collection of data for the primary study by Fann et al. was supported by grant RO1 HD39415 from the US National Center for Medical Rehabilitation Research. Collection of data for the primary study by Gjerdingen et al. was supported by grants from the National Institutes of Mental Health (R34 MH072925, K02 MH65919, P30 DK50456). Dr. Lamers has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement # PCIG12-GA-2012-334065. Dr. Stafford received PhD scholarship funding from the University of Melbourne. The AIM study by Williams et al. was funded by NINDS (R01 NS 38529). Dr. Thombs was supported by an Investigator Award from the Arthritis Society. Dr. Benedetti was supported by an Fondation de Recherche du Quebec - Sante (FRQS) researcher salary award and an FRQS Chercheur Boursier award.