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Endocrine Journal|July 7, 2024
Causal inference and machine learning in endocrine epidemiologyKosuke InoueJMA Journal|November 12, 2025
The High-benefit Approach: A New Targeting Strategy in Precision MedicineKosuke InoueJournal of Epidemiology|May 17, 2016
Informal and Formal Social Support and Caregiver Burden: The AGES Caregiver SurveyKoichiro Shiba, Naoki Kondo, Katsunori KondoBiopsychosocial Science and Medicine|April 18, 2025
Reducing Hypertension Through Volunteering? Investigating the Potential Causal Link Between Volunteering Frequency and Blood Pressure by Gender, Race, and Age GroupsSeoyoun Kim, Koichiro Shiba, Cal HalvorsenWorld Neurosurgery|May 4, 2022
Application of Causal Inference Methods in the Analysis of Observational Neurosurgical Data: G-Formula and Marginal Structural ModelTakuya Kawahara, Koichiro Shiba, Asuka TsuchiyaHealth Psychology : Official Journal of the Division of Health Psychology, American Psychological Association|December 1, 2025
Estimating the heterogeneous effect of life satisfaction on mortality: A causal machine-learning approachEric S Kim, Toshiaki Komura, Koichiro ShibaJournal of Medical Internet Research|January 27, 2025
Digital Gaming and Subsequent Health and Well-Being Among Older Adults: Longitudinal Outcome-Wide AnalysisAtsushi Nakagomi, Kazushige Ide, Katsunori Kondo, et al.Aging & Mental Health|July 21, 2020
Can social capital moderate the impact of widowhood on depressive symptoms? A fixed-effects longitudinal analysisAtsushi Nakagomi, Koichiro Shiba, Katsunori Kondo, et al.Plos One|May 30, 2015
The Association between Meditation Practice and Job Performance: A Cross-Sectional StudyKoichiro Shiba, Masahiro Nishimoto, Minami Sugimoto, et al.BMC Public Health|June 1, 2017
Retirement and mental health: dose social participation mitigate the association? A fixed-effects longitudinal analysisKoichiro Shiba, Naoki Kondo, Katsunori Kondo, et al.Pageof 30