Advancements of Biometrics in the Field of Epidemiology

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  • Taguri Masataka
    Department of Health Data Science, Tokyo Medical University
  • Takahashi Kunihiko
    Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University
  • Komukai Sho
    Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University
  • Ito Yuri
    Center for Medical Research & Development, Osaka Medical and Pharmaceutical University
  • Hattori Satoshi
    Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University
  • Funatogawa Ikuko
    The Institute of Statistical Maethematics
  • Shinozaki Tomohiro
    Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science
  • Yamamoto Michio
    Graduate School of Human Sciences, Osaka University
  • Hayashi Kenichi
    Faculty of Science and Technology, Keio University

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  • 疫学分野での計量生物学の発展

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<p>Epidemiology is the study of health-related states or events in specific populations and their determinants, with the aim of controlling health problems. It encompasses various research fields, such as cancer epidemiology, infectious disease epidemiology, and social epidemiology, molecular epidemiology, environmental epidemiology, genetic epidemiology, clinical epidemiology, pharmacoepidemiology, spatial epidemiology, and theoretical epidemiology, among others, and is closely related to statistics and biometrics. In analytical epidemiological studies, data is collected from study populations using appropriate study designs, and statistical methods are applied to understand disease occurrence and its causes, particularly establishing causal relationships between interventions or exposures and disease outcomes. This paper focuses on five topics in epidemiology, including infectious disease control through spatial epidemiology, cancer epidemiology using cancer registry data, research about long-term health effects, targeted learning in observational studies, and that in randomized controlled trials. This paper provides the latest insights from experts in each field and offers a prospect for the future development of quantitative methods in epidemiology.</p>

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