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09/14/2022
MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies
Meta-analysis for diagnostic test accuracy (DTA) has been one of standar...
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08/06/2022
Variance estimation for logistic regression in case-cohort studies
The logistic regression analysis proposed by Schouten et al. (Stat Med. ...
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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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12/06/2020
Sample size calculations for single-arm survival studies using transformations of the Kaplan-Meier estimator
In single-arm clinical trials with survival outcomes, the Kaplan-Meier e...
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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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04/09/2020
Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
Background: The area under the curve (AUC) of summary receiver operating...
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03/12/2020
Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modeling: Application to a genome-wide associatio
In genetic association studies, rare variants with extremely small allel...
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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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03/06/2020
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
Multivariable predictive models are important statistical tools for prov...
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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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05/05/2019
Efficient selection of predictive biomarkers for individual treatment selection
The development of molecular diagnostic tools to achieve individualized ...
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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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05/14/2018
An efficient and robust method for analyzing population pharmacokinetic data in genome-wide pharmacogenomic studies: a generalized estimating equation approach
Powerful array-based single-nucleotide polymorphism--typing platforms ha...
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04/03/2018
Prediction intervals for random-effects meta-analysis: a confidence distribution approach
For the inference of random-effects models in meta-analysis, the predict...
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11/17/2017
