2 citations · 2 across the 1 of their papers we have counts for
5 papers
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…
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…
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…
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…