＜論 文＞
- Taguri, M., and Hayashi, K. (2025). Partial areas under the curve of the cumulative distribution function as a new composite estimand for randomized clinical trials. Statistical Methods in Medical Research, 34, 1097–1113.
- Orihara, S., and Taguri, M. (2025). RE: “On variance of the treatment effect in the treated when estimated by inverse probability weighting.” American Journal of Epidemiology, 194, 873–874.
- Taguri, M., Kuchiba, A., Yamaji, T., Sawada, N., Goto, A., Iwasaki, M., and Tsugane, S. (2024). Importance of circulating leptin and adiponectin in the causal pathways between obesity and the development of colorectal cancer in Japanese men. Journal of Epidemiology, 34, 563–569.
- Suzuki, N., and Taguri, M. (2024). A new criterion for determining a cutoff value based on the biases of incidence proportions in the presence of non-differential outcome misclassifications. Epidemiology, 35, 618–627.
- Taguri, M. (2022). Discussion of “Akaike Memorial Lecture 2020: Some of the challenges of statistical applications.” Annals of the Institute of Statistical Mathematics, 74, 643–647.
- Takebayashi, T., Taguri, M., Odajima, H., Hasegawa, S., Asakura, K., Milojevic, A., Takeuchi, A., Konno, S., Morikawa, M., Tsukahara, T., Ueda, K., Mukai, Y., Minami, M., Nishiwaki, Y., Yoshimura, T., Nishimura, M., and Nitta, H. (2022). Exposure to PM2.5 and lung function growth in pre- and early-adolescent schoolchildren: A longitudinal study involving repeated lung function measurements in Japan. Annals of the American Thoracic Society, 19, 763–772.
- Taguri, M., and Kuchiba, A. (2018). Decomposition of the population attributable fraction for two exposures. Annals of Epidemiology, 28, 331–334.e1.
- Taguri, M., Featherstone, J., and Cheng, J. (2018). Causal mediation analysis with multiple causally non-ordered mediators. Statistical Methods in Medical Research, 27, 3–19.
- Taguri, M., and Izumi, S. (2017). A global goodness-of-fit test for linear structural mean models. Behaviormetrika, 44, 253–262.
- Taguri, M. (2015). Comments on ‘A cautionary note concerning the use of stabilized weights in marginal structural models’ by D. Talbot, J. Atherton, A. M. Rossi, S. L. Bacon, and G. Lefebvre. Statistics in Medicine, 34, 1438–1439.
- Taguri, M., and Chiba, Y. (2015). A principal stratification approach for evaluating natural direct and indirect effects in the presence of treatment-induced intermediate confounding. Statistics in Medicine, 34, 131–144.
- Taguri, M., Matsuyama, Y., and Ohashi, Y. (2014). Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood. Biometrics, 70, 721–730.
- Taguri, M., and Matsuyama, Y. (2013). Comments on ‘An information criterion for marginal structural models’ by R. W. Platt, M. A. Brookhart, S. R. Cole, D. Westreich, and E. F. Schisterman. Statistics in Medicine, 32, 3590–3591.
- Taguri, M., and Chiba, Y. (2012). Instruments and bounds for causal effects under the monotonic selection assumption. International Journal of Biostatistics, 8, 24.
- Taguri, M., Matsuyama, Y., Ohashi, Y., Harada, A., and Ueshima, H. (2012). Doubly robust estimation of the generalized impact fraction. Biostatistics, 13, 455–467.
＜書 籍＞
- Chiba Y, Taguri M. Assessing the causal infectiousness effect in vaccine trials. In Vaccines: Benefits and Risks, iConcept Press, Chapter 3 (pp. 17¬–37), 2013.
- Taguri M. Mediation Analysis for Multiple Causal Mechanisms. In Frontiers of Biostatistical Methods and Applications in Clinical Oncology, Springer Singapore, Chapter 21 (pp. 343-–357), 2017.
- 篠崎智大，萩原康博，田栗正隆，松山裕．疫学・臨床研究のための因果推論．朝倉書店, 2026．
＜受賞歴＞
- 2004年度 東京大学医学部健康科学・看護学科卒業研究 研究奨励賞
- 2007年度 統計関連学会連合大会コンペティション講演 優秀報告賞
- 2011年度 日本計量生物学会 奨励賞
- 2014年度 日本臨床薬理学会 海外研修員
- 2019年度 横浜市立大学 学長賞（若手奨励賞）
- 2020年度 横浜市立大学 国際総合科学群 学部長賞
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