Articles with "bivariate meta" as a keyword



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Bayesian bivariate meta-analysis of diagnostic test studies with interpretable priors.

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Published in 2017 at "Statistics in medicine"

DOI: 10.1002/sim.7313

Abstract: In a bivariate meta-analysis, the number of diagnostic studies involved is often very low so that frequentist methods may result in problems. Using Bayesian inference is particularly attractive as informative priors that add a small… read more here.

Keywords: analysis; bayesian bivariate; bivariate meta; meta analysis ... See more keywords
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Endoscopic assessment of radiological stage IVA cervical cancer: A bivariate meta-analysis supporting an evidence-based staging algorithm proposal.

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Published in 2022 at "Gynecologic oncology"

DOI: 10.1016/j.ygyno.2022.03.026

Abstract: OBJECTIVE To optimize the use of confirmatory endoscopic exams (cystoscopy/proctoscopy) in the staging of locally advanced cervical cancer (LACC), the present study evaluates the predictive value of radiological exams (CT and MRI) to detect bladder/rectum… read more here.

Keywords: bivariate meta; prevalence; invasion; cervical cancer ... See more keywords
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Estimation of a common mean vector in bivariate meta-analysis under the FGM copula

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Published in 2019 at "Statistics"

DOI: 10.1080/02331888.2019.1581782

Abstract: ABSTRACT We propose a bivariate Farlie–Gumbel–Morgenstern (FGM) copula model for bivariate meta-analysis, and develop a maximum likelihood estimator for the common mean vector. With the aid of novel mathematical identities for the FGM copula, we… read more here.

Keywords: common mean; bivariate; bivariate meta; fgm copula ... See more keywords
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Copula-Based Estimation Methods for a Common Mean Vector for Bivariate Meta-Analyses

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Published in 2022 at "Symmetry"

DOI: 10.3390/sym14020186

Abstract: Traditional bivariate meta-analyses adopt the bivariate normal model. As the bivariate normal distribution produces symmetric dependence, it is not flexible enough to describe the true dependence structure of real meta-analyses. As an alternative to the… read more here.

Keywords: copula based; bivariate; bivariate meta; meta analyses ... See more keywords