Methodology/Biases

• Inoue K, Ritz B, Arah OA. (2022). Causal Effect of Chronic Pain on Mortality through Opioid prescriptions: An Application of the Front-Door Formula. Epidemiology.33(4):572-580
• Inoue K, Haseda M, Shiba K, Tsuji T, Kondo K, Kondo N. (2022). Social Isolation and Depressive Symptoms Among Older Adults: A Multiple Bias Analysis Using a Longitudinal Study in Japan. Annals of Epidemiology.77:110-118.
• Inoue K, Figueroa F, Kondo N, Tsugawa Y (2022). Changes in Industry Marketing Payments to Physicians during the COVID-19 pandemic: Quasi-experimental Difference-in-difference Study. BMJ Medicine.1(1):e000219.
• Inoue K, Goto A, Kondo N, Shinozaki T. (2022). Bias amplification in the g-computation algorithm for time-varying treatments: a case study of industry payments and prescription of opioid products. BMC Medical Research Methodology.22(1):120.
• Inoue K, Yan Q, Arah OA, Paul K, Walker DI, Jones DP, Ritz B. (2020). Air pollution and adverse birth outcomes: Mediation analysis using metabolomic profiles. Current Environmental Health Reports.7(3):231-242.
• Inoue K, Beekely J, Goto A, Jeon C, Ritz B. (2020) Depression and Cardiovascular Disease among Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis with Bias Analysis. Journal of Diabetes and Its Complications.34(12):107710.
• Inoue K, Kitamoto T, Tsurutani Y, Saito J, Omura M, Nishikawa T. (2021). Cortisol Co-Secretion and Clinical Usefulness of ACTH Stimulation Test in Primary Aldosteronism: A Systematic Review and Biases in Epidemiological Studies. Frontiers in Endocrinology.12:645488.
• Inoue K, Goto A, Sugiyama T, Ramlau-Hansen CH, Liew Z. (2020). The Confounder-Mediator Dilemma: Should We Control for Obesity to Estimate the Effect of Perfluoroalkyl Substances on Health Outcomes? Toxics 8(4):125.
• Inoue K. (2024). Causal Inference and Machine Learning in Endocrine Epidemiology. Endocrine Journal. (Online ahead of print)
• Inoue K, Sakamaki K, Komukai S, Ito Y, Goto A, Shinozaki T. (2024) Confounder Selection and Sensitivity Analyses to Unmeasured Confounding from Epidemiological and Statistical Perspectives. Journal of Epidemiology (Online ahead of print)
• Tanaka S, Muramatsu Y, Inoue K. (2024) Clarifying causal effects of interest and underlying assumptions in randomized and nonrandomized clinical trials in oncology using directed acyclic graphs and single world intervention graphs. JCO Clinical Cancer Informatics. (1):e2300262.