165 citations · 503 across the 17 of their papers we have counts for
17 papers
Frequentist prediction intervals for random-effects meta-analysis via confidence-distribution propagation
Hisashi Noma, Guido Schwarzer
Prediction intervals are increasingly recommended in random-effects meta-analysis because they describe the range of true effects expected in a future study or setting. Conventiona…
MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies
Hisashi Noma
Meta-analysis for diagnostic test accuracy (DTA) has been a standard research method for synthesizing evidence from diagnostic studies. In DTA meta-analysis, although publication b…
Variance estimation for logistic regression in case-cohort studies
Hisashi Noma
The logistic regression analysis proposed by Schouten et al. (Stat Med. 1993;12:1733-1745) has been a standard method in current statistical analysis of case-cohort studies, and it…
pimeta: an R package of prediction intervals for random-effects meta-analysis
Kengo Nagashima, Hisashi Noma, Toshi A. Furukawa
The prediction interval is gaining prominence in meta-analysis as it enables the assessment of uncertainties in treatment effects and heterogeneity between studies. However, covera…
Sample size calculations for single-arm survival studies using transformations of the Kaplan-Meier estimator
Kengo Nagashima, Hisashi Noma, Yasunori Sato +1
In single-arm clinical trials with survival outcomes, the Kaplan-Meier estimator and its confidence interval are widely used to assess survival probability and median survival time…
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods
Hisashi Noma, Tomohiro Shinozaki, Katsuhiro Iba +2
In assessing prediction accuracy of multivariable prediction models, optimism corrections are essential for preventing biased results. However, in most published papers of clinical…
Confidence interval for the AUC of SROC curve and some related methods using bootstrap for meta-analysis of diagnostic accuracy studies
Hisashi Noma, Yuki Matsushima, Ryota Ishii
The area under the curve (AUC) of summary receiver operating characteristic (SROC) curve is a primary statistical outcome for meta-analysis of diagnostic test accuracy studies (DTA…
Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modeling: Application to a genome-wide association study of coronary artery disease
Shonosuke Sugasawa, Hisashi Noma
In genetic association studies, rare variants with extremely small allele frequency play a crucial role in complex traits, and the set-based testing methods that jointly assess the…
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
Katsuhiro Iba, Tomohiro Shinozaki, Kazushi Maruo +1
Multivariable predictive models are important statistical tools for providing synthetic diagnosis and prognostic algorithms based on multiple patients' characteristics. Their appar…
Flexible random-effects distribution models for meta-analysis
Hisashi Noma, Kengo Nagashima, Shogo Kato +2
In meta-analysis, the random-effects models are standard tools to address between-study heterogeneity in evidence synthesis analyses. For the random-effects distribution models, th…
Outlier detection and influence diagnostics in network meta-analysis
Hisashi Noma, Masahiko Gosho, Ryota Ishii +2
Network meta-analysis has been gaining prominence as an evidence synthesis method that enables the comprehensive synthesis and simultaneous comparison of multiple treatments. In ma…
Frequentist performances of Bayesian prediction intervals for random-effects meta-analysis
Yuta Hamaguchi, Hisashi Noma, Kengo Nagashima +2
The prediction interval has been increasingly used in meta-analyses as a useful measure for assessing the magnitude of treatment effect and between-studies heterogeneity. In calcul…
Bayesian influence diagnostics and outlier detection for meta-analysis of diagnostic test accuracy
Yuki Matsushima, Hisashi Noma, Tomohide Yamada +1
Meta-analyses of diagnostic test accuracy (DTA) studies have been gaining prominence in research in clinical epidemiology and health technology development. In these DTA meta-analy…
Efficient screening of predictive biomarkers for individual treatment selection
Shonosuke Sugasawa, Hisashi Noma
The development of molecular diagnostic tools to achieve individualized medicine requires identifying predictive biomarkers associated with subgroups of individuals who might recei…
Permutation inference methods for multivariate meta-analysis
Hisashi Noma, Kengo Nagashima, Toshi A. Furukawa
Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects mo…
An efficient and robust method for analyzing population pharmacokinetic data in genome-wide pharmacogenomic studies: a generalized estimating equation approach
Kengo Nagashima, Yasunori Sato, Hisashi Noma +1
Powerful array-based single-nucleotide polymorphism--typing platforms have recently heralded a new era in which genome-wide studies are conducted with increasing frequency. A genet…
Prediction intervals for random-effects meta-analysis: a confidence distribution approach
Kengo Nagashima, Hisashi Noma, Toshi A. Furukawa
Prediction intervals are commonly used in meta-analysis with random-effects models. One widely used method, the Higgins-Thompson-Spiegelhalter prediction interval, replaces the het…