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03/24/2023
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
Major depressive disorder (MDD) is a heterogeneous condition; multiple u...
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03/12/2022
Synthesizing cross-design evidence and cross-format data using network meta-regression
In network meta-analysis (NMA), we synthesize all relevant evidence abou...
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10/15/2021
pimeta: an R package of prediction intervals for random-effects meta-analysis
The prediction interval is gaining prominence in meta-analysis as it ena...
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04/12/2021
A dose-effect network meta-analysis model: an application in antidepressants
Network meta-analysis (NMA) has been used to answer a range of clinical ...
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05/04/2020
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods
In assessing prediction accuracy of multivariable prediction models, opt...
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04/27/2020
A Bayesian dose-response meta-analysis model: simulation study and application
Dose-response models express the effect of different dose or exposure le...
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03/10/2020
Flexible random-effects distribution models for meta-analysis
In meta-analysis, the random-effects models are standard tools to addres...
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10/29/2019
Outlier detection and influence diagnostics in network meta-analysis
Network meta-analysis has been gaining prominence as an evidence synthes...
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06/30/2019
Frequentist performances of Bayesian prediction intervals for random-effects meta-analysis
The prediction interval has been increasingly used in meta-analyses as a...
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06/25/2019
Bayesian influence diagnostics and outlier detection for meta-analysis of diagnostic test accuracy
Meta-analyses of diagnostic test accuracy (DTA) studies have been gainin...
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09/11/2018
Permutation inference methods for multivariate meta-analysis
Multivariate meta-analysis is gaining prominence in evidence synthesis r...
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04/03/2018