Extensions of longitudinal data analysis

• Project/Area Number: 17K00066
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Statistical science
• Research Institution: The Institute of Statistical Mathematics
• Principal Investigator: Funatogawa Ikuko 統計数理研究所, データ科学研究系, 准教授 (80407931)
• Project Period (FY): 2017-04-01 – 2022-03-31
• Project Status: Completed (Fiscal Year 2021)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2019: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
• Keywords: 経時データ解析 / 自己回帰 / 線形混合効果モデル / パネルデータ分析 / 統計数学

Outline of Final Research Achievements

Longitudinal data are measurements or observations taken from multiple subjects repeatedly over time. We conducted research with the aim of extensions of longitudinal data analysis. In particular, we aimed to integrate and develop methodologies for dynamic models. Dynamic models have evolved separately in several fields. We published the English book "Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models". We showed the relationship between the proposed autoregressive linear mixed effects models and dynamic models in another field.

Academic Significance and Societal Importance of the Research Achievements

経時データ解析は、様々な分野で用いられ、各分野で発展してきた。特に、ダイナミックモデルは有用であると考えられるが、いくつかの分野で別々に発展してきており、融合による発展の余地が大きい。本研究により、他分野との融合がさらに促進されると期待される。

Research Products

• [Journal Article] COVID-19の感染性に関する学術論文の動向 (2022)
  • Author(s): 船渡川伊久子
  • Journal Title: 統計数理 Volume: 70
  • Peer Reviewed / Open Access
• [Journal Article] 「特集 公衆衛生－新型コロナウイルス感染症」について (2022)
  • Author(s): 船渡川伊久子
  • Journal Title: 統計数理 Volume: 70
  • Open Access
• [Journal Article] 公衆衛生や疫学における統計（特集 感染症対策と統計） (2020)
  • Author(s): 船渡川伊久子
  • Journal Title: 統計 Volume: 71 Pages: 4-10
  • NAID: 40022435557
• [Journal Article] Longitudinal analysis of pre- and post-treatment measurements with equal baseline assumptions in randomized trials (2020)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Journal Title: Biometrical Journal Volume: 62 Issue: 2 Pages: 350-360
  • DOI: 10.1002/bimj.201800389
  • Peer Reviewed / Open Access
• [Journal Article] Incidence of Lung Cancer among Young Women (Letter) (2018)
  • Author(s): Ikuko Funatogawa
  • Journal Title: New England Journal of Medicine Volume: 379 Issue: 10 Pages: 988-988
  • DOI: 10.1056/nejmc1808250
• [Presentation] COVID-19の感染性 (2021)
  • Author(s): 船渡川伊久子
  • Organizer: 統計関連学会連合大会
• [Presentation] Autoregressive linear mixed effects models in structural equation modeling (2020)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: 41th Annual Conference of the International Society for Clinical Biostatistics
  • Int'l Joint Research
• [Presentation] Interpretation of autoregressive linear mixed effects models with time as a continuous covariate (2020)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: The 30th International Biometric Conference
  • Int'l Joint Research
• [Presentation] 構造方程式モデリングにおける潜在変化スコアモデルと自己回帰線形混合効果モデル (2020)
  • Author(s): 船渡川伊久子
  • Organizer: 2020年度統計関連学会連合大会
• [Presentation] A class of marginal variance covariance structures for random baseline and random asymptotes (2019)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: 40th Annual Conference of the International Society for Clinical Biostatistics
  • Int'l Joint Research
• [Presentation] 順序カテゴリカルデータの2標本問題でのプロファイル尤度に基づく信頼区間とその他の順位に基づく方法の比較 (2019)
  • Author(s): 船渡川伊久子, 船渡川隆
  • Organizer: 2019年度統計関連学会連合大会
• [Presentation] Marginal variance covariance structures for nonlinear growth curves (2018)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: XXIX International Biometric Conference
  • Int'l Joint Research
• [Presentation] Longitudinal analysis for a pre and a post randomization data with equal baseline assumptions (2018)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: 39th the annual conference of international society for clinical biostatistics
  • Int'l Joint Research
• [Presentation] Approach using profile-likelihood-based confidence intervals to the two sample problem in ordered categorical data (2018)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Organizer: 39th the annual conference of international society for clinical biostatistics
  • Int'l Joint Research
• [Book] Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models (2019)
  • Author(s): Ikuko Funatogawa and Takashi Funatogawa
  • Total Pages: 141
  • Publisher: Springer
  • ISBN: 9789811000768