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2013 Fiscal Year Final Research Report

Biostatistical methods for clinical and epidemiological researches using hierarchical Bayes models

Research Project

  • PDF
Project/Area Number 24800081
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeSingle-year Grants
Research Field Statistical science
Research InstitutionThe Institute of Statistical Mathematics

Principal Investigator

NOMA Hisashi  統計数理研究所, 大学共同利用機関等の部局等, 助教 (70633486)

Project Period (FY) 2012-08-31 – 2014-03-31
Keywords階層ベイズモデル / 個別化医療 / 多重検定 / ケースコホート研究 / 欠測データ / セミパラメトリック統計理論 / 経験ベイズ法 / ネットワークメタアナリシス
Research Abstract

Recent developments of computational environments have facilitated theoretical and practical researches of Bayesian statistical methodologies. This study developed novel and useful Bayesian statistical methods for clinical and epidemiological researches. In particular, we developed efficient methodologies for high-dimensional genome data analyses and molecular diagnosis. In addition, we studied complex epidemiological study designs and their efficient estimating methods, and developed statistical methods for network meta-analyses.

  • Research Products

    (12 results)

All 2014 2013

All Journal Article (5 results) Presentation (6 results) Book (1 results)

  • [Journal Article] ケースコホート研究の理論と統計手法2014

    • Author(s)
      野間久史
    • Journal Title

      統計数理

      Volume: (印刷中)

  • [Journal Article] 観察研究におけるバイアスの感度解析2014

    • Author(s)
      竹内文乃,野間久史
    • Journal Title

      統計数理

      Volume: (印刷中)

  • [Journal Article] Empirical Bayes ranking and selection methods via semi-parametric hierarchical mixture models in microarray studies2013

    • Author(s)
      Noma, H. and Matsui, S.
    • Journal Title

      Statistics in Medicine

      Volume: 32 Pages: 1904-1916

    • DOI

      10.1002/sim.5718

  • [Journal Article] An efficient semiparametric empirical Bayes method for the optimal discovery procedure in multiple significance testing2013

    • Author(s)
      Noma, H. and Matsui, S.
    • Journal Title

      Computational and Mathematical Methods in Medicine 2013

      Volume: (Article ID 568480)

    • DOI

      10.1155/2013/568480

  • [Journal Article] Multiple Imputation法によるネステッドケースコントロール研究,ケースコホート研究の解析2013

    • Author(s)
      野間久史,田中司朗,田中佐智子,和泉志津恵
    • Journal Title

      計量生物学

      Volume: 33 Pages: 101-124

    • DOI

      10.5691/jjb.33.101

  • [Presentation] ネットワークメタアナリシスの理論と応用2014

    • Author(s)
      野間久史
    • Organizer
      第5回生物統計ネットワークシンポジウム,ステーションカンファレンス東京
    • Place of Presentation
      東京
    • Year and Date
      20140300
  • [Presentation] ケースコホート研究の統計解析:2段階ケースコントロール研究との等価性と漸近有効な推定方式2013

    • Author(s)
      野間久史,田中司朗
    • Organizer
      日本行動計量学会第41回大会
    • Place of Presentation
      東邦大学,千葉
    • Year and Date
      20130900
  • [Presentation] The optimal discovery procedure in multiple significance testing : An empirical Bayes method based on semiparametric hierarchical mixture models2013

    • Author(s)
      野間久史,松井茂之
    • Organizer
      2013年度統計関連学会連合大会
    • Place of Presentation
      大阪大学,大阪
    • Year and Date
      20130900
  • [Presentation] Multiple imputation analysis of nested case-control and case-cohort studies2013

    • Author(s)
      Noma, H., Tanaka, S., Tanaka, S. and Izumi, S.
    • Organizer
      The 46th Society for Epidemiologic Research Annual Meeting
    • Place of Presentation
      The Boston Park Plaza Hotel & Towers, Boston, Massachusetts
    • Year and Date
      20130600
  • [Presentation] Case-Cohort Design:調査・実験のコストと労力を節減するための新しい臨床研究・疫学研究のデザイン2013

    • Author(s)
      野間久史
    • Organizer
      SASユーザー会統計手法研究部会
    • Place of Presentation
      北海道大学,札幌
    • Year and Date
      20130600
  • [Presentation] The optimal discovery procedure in multiple significance testing : an empirical Bayes approach2013

    • Author(s)
      Noma, H.
    • Organizer
      ISM-ISI-ISSAS Joint Conference 2013
    • Place of Presentation
      Academia Sinica, Taipei, Taiwan
    • Year and Date
      20130200
  • [Book] Gene screening in the development of genomic signatures. In Design and Analysis of Clinical Trials for Predictive Medicine, (Matsui, S., Buyse, M. and Simon, R. (eds.))2014

    • Author(s)
      Noma, H. and Matsui, S.
    • Publisher
      Boca Raton : Chapman and Hall/CRC (in press)

URL: 

Published: 2015-07-16  

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