Rchr
J-GLOBAL ID:201301012920045242   Update date: Sep. 29, 2024

Shinozaki Tomohiro

シノザキ トモヒロ | Shinozaki Tomohiro
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://scholar.google.co.jp/citations?user=PB7eqhAAAAAJ&hl=en
Research field  (2): Healthcare management, medical sociology ,  Statistical science
Research keywords  (2): Epidemiologic theory ,  Biostatistics, Statistical causal inference
Research theme for competitive and other funds  (7):
  • 2023 - 2026 Visualization of causality: development and application of graphical models based on mechanisms
  • 2021 - 2024 Multi-stage sampling framework and statistical methods for epidemiological studies with complex data structure
  • 2020 - 2024 Statistical inference of dynamic treatment regimens in clinical trials directed toward personalized medicine
  • 2020 - 2023 特定健診の有効性:Target Trialアプローチを用いた検証
  • 2020 - 2023 Development of propensity score models in large epidemiologic studies: causal inference and AI
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Papers (191):
  • Seitaro Suzuki, Taiki Yamaji, Motoki Iwasaki, Manami Inoue, Shoichiro Tsugane, Tomohiro Shinozaki, Norie Sawada. Body Mass Index, Height and Head and Neck Cancer Risk: the Japan Public Health Center-based Prospective Study. Journal of epidemiology. 2024. in press
  • Fukui, S., Winkelmayer, W.C., Tedeschi, S.K., Marrugo, J., Guan, H., Harrold, L.R., Litman, H.J., Shinozaki, T. and Solomon, D.H. Disease activity of rheumatoid arthritis and kidney function decline: a large prospective registry study. ANNALS OF THE RHEUMATIC DISEASES. 2024. in press
  • Masao Iwagami, Ryota Inokuchi, Eiryo Kawakami, Tomohide Yamada, Atsushi Goto, Toshiki Kuno, Yohei Hashimoto, Nobuaki Michihata, Tadahiro Goto, Tomohiro Shinozaki, et al. Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study. PLOS digital health. 2024. 3. 8. e0000578
  • Kosuke Inoue, Kentaro Sakamaki, Sho Komukai, Yuri Ito, Atsushi Goto, Tomohiro Shinozaki. Confounder Selection and Sensitivity Analyses to Unmeasured Confounding from Epidemiological and Statistical Perspectives. Journal of epidemiology. 2024
  • Fukui, S., Okada, M., Shinozaki, T., Asano, T., Nakai, T., Tamaki, H., Kishimoto, M., Hasegawa H., Matsuda, T., Marrugo, J., Tedeschi, S.K., Choi, H.K. and Solomon, D.H. Changes in alcohol intake and serum urate changes: longitudinal analyses of annual medical examination database. ANNALS OF THE RHEUMATIC DISEASES. 2024. 83. 8. 1072-1081
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MISC (30):
  • 篠崎智大. 「標的学習」の考え方と実装-因果推論×機械学習という異なる手法による観察研究データ解析. 臨床評価. 2024. 51. 別冊40. 97-111
  • 篠崎 智大. p値と信頼区間(外科医のためのビッグデータ利活用入門 第7回). 胸部外科. 2024. 77. 5. 373-379
  • 隈丸 拓,篠崎 智大,遠藤 英樹,山本 博之. 傾向スコアと解析結果の解釈(外科医のためのビッグデータ利活用入門第4回). 胸部外科. 2024. 77. 2. 127-132
  • 山田 浩司,篠崎 智大,伊藤 淳二,中島 勧,中川 晃一,古矢 丈雄,和田 簡一郎,小林 直実,志波 直人,楫野 良知,河村 直洋,浜田 大輔,當銘 保則,西本 章,酒井 紀典,長谷川 和寿,飯島 裕生,竹下 克志,中島 康晴. コロナウイルス感染症流行が整形外科研修認定施設の手術に及ぼす影響. 関節外科. 2024. 43. 2. 151-158
  • 篠崎 智大. 因果媒介分析:Causal mediation analysis. 臨床評価. 2023. 51. 2. 280-295
more...
Books (4):
  • 生物統計学の道標:研究デザインから論文報告までをより深く理解するための24講
    一般財団法人厚生労働統計協会 2023 ISBN:9784875118947
  • インベンス・ルービン 統計的因果推論(上・下)
    朝倉書店 2023 ISBN:9784254122916
  • 臨床試験の事典
    朝倉書店 2023 ISBN:9784254322644
  • Epidemiologic Research on Real-World Medical Data in Japan: Volume 1
    Springer 2022 ISBN:9789811663758
Lectures and oral presentations  (81):
  • 順序あり多値曝露に対する増分傾向スコア法
    (2024年度統計関連学会連合大会 2024)
  • 経時的治療における整合的な局外モデルを用いた因果リスク比の二重頑健推定
    (2024年度統計関連学会連合大会 2024)
  • Bias in the IPCW estimator for censored pairwise comparisons: the importance of explicit estimands
    (2024 Joint Statistical Meetings 2024)
  • Covariate adjustment in randomized trials: comparison of machine learning and parametric models
    (2024 Joint Statistical Meetings 2024)
  • 観察研究における欠測データ解析のレコメンデーション
    (第60回日本循環器病予防学会学術集会 2024)
more...
Education (3):
  • - 2009 The University of Tokyo Faculty of Medicine School of Health Sciences and Nursing
  • The University of Tokyo Graduate School, Division of Medical Sciences Division of Health Sciences and Nursing
  • The University of Tokyo Graduate School, Division of Medical Sciences Division of Health Sciences and Nursing
Professional career (2):
  • Doctor of Philosophy in Health Science (The University of Tokyo)
  • Master of Public Health (The University of Tokyo)
Work history (4):
  • 2023/04 - Tokyo University of Science Department of Information and Computer Technology, Faculty of Engineering Associate Professor
  • 2019/04 - Tokyo University of Science Department of Information and Computer Technology, Faculty of Engineering Junior Associate Professor
  • 2012/11 - 2019/03 The University of Tokyo Department of Biostatistics, Division of Health Sciences and Nursing, Graduate School of Medicine Assistant Professor
  • 2012/05 - 2012/10 The University of Tokyo Interfaculty Initiative in Information Studies/Graduate School of Interdisciplinary Information Studies Assistant Professor
Committee career (7):
  • 2023/04/01 - 2026/03/31 日本統計学会 Associate Editor
  • 2023/01/01 - 2025/12/31 Japan Epidemiological Association Associate Editor, Journal of Epidemiology
  • 2022/04/01 - 2024/03/31 The Biometric Society of Japan Program Committee
  • 2022/01/01 - 2023/12/31 Japan Gastroenterological Endoscopy Society Associate Editor (Statistics)
  • 2021/01/01 - 2022/12/31 The Biometric Society of Japan Editor, Japanese Journal of Biometrics
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Awards (1):
  • 2019/01/31 - Best Reviewer Award for Journal of Epidemiology
Association Membership(s) (1):
The Biometric Society of Japan
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