
pimeta: an R package of prediction intervals for randomeffects metaanalysis
The prediction interval is gaining prominence in metaanalysis as it ena...
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A doseeffect network metaanalysis model: an application in antidepressants
Network metaanalysis (NMA) has been used to answer a range of clinical ...
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Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrapbased optimism correction methods
In assessing prediction accuracy of multivariable prediction models, opt...
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A Bayesian doseresponse metaanalysis model: simulation study and application
Doseresponse models express the effect of different dose or exposure le...
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Flexible randomeffects distribution models for metaanalysis
In metaanalysis, the randomeffects models are standard tools to addres...
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Outlier detection and influence diagnostics in network metaanalysis
Network metaanalysis has been gaining prominence as an evidence synthes...
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Frequentist performances of Bayesian prediction intervals for randomeffects metaanalysis
The prediction interval has been increasingly used in metaanalyses as a...
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Bayesian influence diagnostics and outlier detection for metaanalysis of diagnostic test accuracy
Metaanalyses of diagnostic test accuracy (DTA) studies have been gainin...
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Permutation inference methods for multivariate metaanalysis
Multivariate metaanalysis is gaining prominence in evidence synthesis r...
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Prediction intervals for randomeffects metaanalysis: a confidence distribution approach
For the inference of randomeffects models in metaanalysis, the predict...
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Toshi A. Furukawa
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