165 citations · 231 across the 7 of their papers we have counts for
7 papers
A modified maximum contrast method for unequal sample sizes in pharmacogenomic studies
Kengo Nagashima, Yasunori Sato, Chikuma Hamada
In pharmacogenomic studies, biomedical researchers commonly analyze the association between genotype and biological response by using the Kruskal--Wallis test or one-way analysis o…
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…
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…
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…
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…