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K. Nagashima

7 papers hereh-index 302.7k citations161 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • stat.ME6
  • stat.AP1
same name
  • K. Nagashima — 28 papers, h 12
  • K. Nagashima — 19 papers, h 27
  • K. Nagashima — 13 papers, h 8
  • K. Nagashima — 6 papers, h 44
  • K. Nagashima — 4 papers
  • K. Nagashima — 2 papers, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedPrediction intervals for random-effects meta-analysis: a confidence distribution approach

165 citations · 231 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

stat.ME2018★ 11 cited

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…

stat.ME2018★ 2 cited

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…

stat.ME2018★ 165 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.