Seto, H., Kitora, S., Oyama, A., Toki, H., Yamamoto, R., Yamamoto, M. (submitted).
Watamura, E., Yamamoto, M., Mukai, T., Matsuki, Y., Yuyama, Y., Sadamura, M., Hunt, A. J. (submitted).
塩飽大基, 山本倫生. (submitted).
Hagiya, H., Nishimura, S., Yamamoto, M., Niimura, T., Osaki, Y., Harada, K., Zamami, Y., Koyama, T. (submitted).
Koyama, T., Nishihara, M., Yamamoto, M., Niimura, T., Nishimura, S., Osaki, Y., Harada, K., Zamami, Y., Hagiya, H. (submitted).
Yamamoto, M., Kawaguchi, A., and Hwang, H. (submitted).
Accepted and Published Papers
Koyama, T., Iinuma, S., Yamamoto, M., Niimura, T., Osaki, Y., Nishimura, S., Harada, K., Zamami, Y. and Hagiya, H. (2024). “International trends in adverse drug event-related mortality from 2001 to 2019: An analysis of the World Health Organization Mortality Database from 54 countries”, Drug Safety, 47, 237–249. doi: 10.1007/s40264-023-01387-0. [paper]
Watamura, E., Ioku, T., Mukai, T., Yamamoto, M. “Empathetic robot judge, we trust you”, International Journal of Human-Computer Interaction, (in press). doi: 10.1080/10447318.2023.2232982. [paper]
Hagiya, H., Osaki, Y., Yamamoto, M., Higashionna, T., Niimura, T., Harada, K., Hamano, H., Zamami, Y., Hinotsu, S., Koyama, T. (2023). “Global trends of seasonal influenza-associated mortality in 2001-2018: A longitudinal epidemiological study”, Journal of Infection, 87(3): e54-e57. doi: 10.1016/j.jinf.2023.06.011. [paper]
Suzuki, E., Yamamoto, M., Yamamoto, E. (2023). “Exchangeability of measures of association before and after exposure status is flipped: its relationship with confounding in the counterfactual model”, Journal of Epidemiology, 33: 385–389. doi: 10.2188/jea.JE20210352. [paper]
Suzuki, E., Yamamoto, M., Yamamoto, E. (2022). “A general explanation of the counterfactual definition of confounding”, Journal of Clinical Epidemiology, 148: 189–192. doi: 10.1016/j.jclinepi.2022.02.002. [paper]
Akamatsu S. , Terada, N., Takata R., Kinoshita, H., Shimatani, K., Momozawa, Y., Yamamoto, M., Tada, H., Kawamorita, N., Narita, S., Kato, T., Nitta, M., Kandori, S., Koike, Y., Inazawa, J., Kimura, T., Kimura, H., Kojima, T., Terachi, T., Sugimoto, M., Habuchi, T., Arai, Y., Yamamoto, S., Matsuda, T., Obara, W., Kamoto, T., Inoue, T., Nakagawa, H., Ogawa, O. (2022). “Clinical utility of germline genetic testing in Japanese men undergoing prostate biopsy,” JNCI Cancer Spectrum, 6(1), doi: 10.1093/jncics/pkac001. [paper]
Zeng, Y., Shimizu, S., Cai, R., Xie, F., Yamamoto, M., and Hao, Z. (2021). “Causal discovery with multi-domain LiNGAM for latent factors,” Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Pages 2097-2103. [paper]
Ogawa, S., Shimidzu, H., Fukuda, K., Tsunekawa, N., Hirano, T., Sato, F., Yura, K., Hasunuma, T., Ochi, K., Yamamoto, M., Sakamoto, W., Hashimoto, K., Ogata, H., Kanao, T., Nemoto, M., Inagaki, K., and Tamura, T. (2021). “Multiple mutations in RNA polymerase β-subunit gene (rpoB ) in Streptomyces incarnatus NRRL8089 enhance production of antiviral antibiotic sinefungin: modeling rif cluster region by density functional theory”, Bioscience, Biotechnology, and Biochemsitry, 85(5): 1275–1282. [paper]
Oshima, T., Yoshikawa, T., Miyagi, Y., Morita, S., Yamamoto, M., Tanabe, K., Nishikawa, K., Ito, Y., Matsui, T., Kimura, Y., Yokose, T., Hiroshima, Y., Aoyama, T., Hayashi, T., Ogata, T., Cho, H., Rino, Y., Masuda, M., Tsuburaya, A., and Sakamoto, J. (2020). “Biomarker analysis to predict the pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer: An exploratory biomarker study of COMPASS, a randomized phase II trial”, Oncotarget, 11: 2906–2918. [paper]
Takahashi, H., Otsuki, J., Yamamoto, M., Saito, H., Hirata, R., Habara, T., and Hayashi, N. (2020). “Clinical outcomes of MII oocytes with refractile bodies in patients undergoing ICSI and single frozen embryo transfer”, Reproductive Medicine and Biology, 19(1): 75–81. doi: 10.1002/rmb2.12305
Terada, Y. and Yamamoto, M. (2019). “Kernel normalized cut: a theoretical revisit”, Proceedings of the 36th International Conference on Machine Learning (ICML 2019), PMLR 97: 6206–6214. [paper]
Kaido, T., Shinoda, M., Inomata, Y., Yagi, T., Akamatsu, N., Takada, Y., Ohdan, H., Shimamura, T., Ogura, Y., Eguchi, S., Eguchi, H., Ogata, S., Yoshizumi, T., Ikegami, T., Yamamoto, M., Morita, S., and Uemoto, S. (2018). “Effect of herbal medicine Daikenchuto on oral and enteral caloric intake after liver transplantation: a multicenter, randomized controlled trial”, Nutrition, 54: 68–75. doi: 10.1016/j.nut.2018.02.022.
Nishi, H., Ishii, A., Nakahara, I., Matsumoto, S., Sadamasa, N., Kai, Y., Ishibashi, R., Yamamoto, M., Morita, S., and Nagata, I. (2018). ”Different Learning Curves between Stent Retrieval and a Direct Aspiration First Pass Technique for Acute Ischemic Stroke”. Journal of Neurosurgery, 129(6):1456-1463: doi: 10.3171/2017.6.JNS17872.
Hida, K., Okamura, R., Sakai, Y., Konishi, T., Akagi, T., Yamaguchi, T., Akiyoshi, T., Fukuda, M., Yamamoto, S., Yamamoto, M., Nishigori, T., Kawada, K., Hasegawa, S., Morita, S., and Watanabe, M. (2018). “Open versus laparoscopic surgery for advanced low rectal cancer: a large multicenter propensity score matched cohort study in Japan”. Annals of Surgery, 268(2):318–324, Aug. 2018. doi: 10.1097/SLA.0000000000002329.
Kikuchi, T., Morizane, A., Doi, D., Magotani, H., Onoe, H., Hayashi, T., Mizuma, H., Takara, S., Takahashi, R., Inoue, H., Morita, S., Yamamoto, M., Okita, K., Nakagawa, M., Parmar, M., and Takahashi, J. (2017). “Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease model”. Nature, 548: 592–596, Aug 2017. doi:10.1038/nature23664.
Okamura, R., Hida, K., Yamaguchi, T., Akagi, T., Konishi, T., Yamamoto, M., Ota, M., Matoba, S., Bando, H., Goto, S., Sakai, Y., and Watanabe, M. (2017). ”Local Control of Sphincter-Preserving Procedures and Abdominoperineal Resection for Locally Advanced Low Rectal Cancer: A Propensity Score Matched Analysis”. Annals of Gastroenterological Surgery, 1(3): 199–207, Sep 2017.
Yamamoto, M. and Hwang, H. (2017). “Dimension-reduced clustering of functional data via subspace separation”. Journal of Classification, 34(2): 294–326. doi:10.1007/s00357-017-9232-z.
Ikeguchi, R., Aoyama, T., Kakinoki, R., Ueda, M., Kasai, Y., Maekawa, T., Tada, H., Yamamoto, M., Matsuda, S., Nakamura, T., and Toguchida, J. (2017). “A clinical trial for Kienböck disease by cultured autologous multipotent mesenchymal stromal cells augmented with vascularized bone grafts: A report of five cases”. Journal of Orthopaedic Science, 24(4): 750-756. doi: 10.1016/j.jos.2017.02.002.
Yamamoto, M., Hirose, K., and Nagata, H. (2017). “Graphical tool of sparse factor analysis”. Behaviormetrika, 44(1): 229-250.
Fukimbara, S., Niibe, K., Yamamoto, M., and Yamaguchi, T. (2017). “Adjustment for propensity score in non-randomized clinical studies: Comparison of sivelestat versus conventional therapy for acute lung injury in acute respiratory distress syndrome”. Therapeutic Innovation & Regulatory Science, 51(1): 89-99.
Kawaguchi, K., Suzuki, E., Yamacuchi, A., Yamamoto, M., Morita, S., and Toi, M. (2017). “Altered expression of major immune regulatory molecules in peripheral blood immune cells associated with breast cancer”. Breast Cancer, 24(1): 111-120.
Choi, J.Y., Hwang, H., Yamamoto, M., Jung, K., and Woodward, T.S. (2017). “A unified approach to functional principal component analysis and functional multiple-set canonical correlation”. Psychometrika, 82(2): 427-441. doi:10.1007/s11336-015-9478-5.
Kuroda, Y., Asada, R., So, K., Yonezawa, A., Nankaku, M., Mukai, K., Ito-Ihara, T., Tada, H., Yamamoto, M., Murayama, T., Morita, S., Tabata, Y., Yokode, M., Shimizu, A., Matsuda, S., and Akiyama, H. (2016). “A pilot study of regenerative therapy using controlled release of recombinant human fibroblast growth factor for patients with pre-collapse osteonecrosis of the femoral head”. International Orthopaedics, 40(8): 1747-1754.
Nakagawa, T., Yamamoto, M., Kumakawa, K., Usami, S., Hato, N., Tabichi, K., Takahashi, M., Fujiwara, K., Sasaki, A., Komune, S., Yamamoto, N., Hiraumi, H., Sakamoto, T., Shimizu, A., and Ito, J. (2016). “Prognostic impact of salvage treatment on hearing recovery in patients with sudden sensorineural hearing loss refractory to systemic corticosteroids: A retrospective observational study”. Auris Nasus Larynx. 43(5): 489-494.
Kou, T., Kanai, M., Yamamoto, M., Xue, P., Mori, Y., Kudo, Y., Kurita, A., Uza, N., Kodama, Y., Asada, M., Kawaguchi, M., Masui, T., Mizumoto, M., Yazumi, S., Matsumoto, S., Takaori, K., Morita, S., Muto, M., Uemoto, S., and Chiba, T. (2016). “Prognostic model for survival based on readily available pretreatment factors in patients with advanced pancreatic cancer receiving palliative chemotherapy”. International Journal of Clinical Oncology, 21(1): 118-125.
Kaido, T., Shimamura, T., Sugawara, Y., Sadamori, H., Shirabe, K., Yamamoto, M., and Uemoto, S. (2015). “A multicenter, randomized, placebo-controlled trial of extract of Japanese herbal medicine Daikenchuto to prevent bowel dysfunction after adult liver transplantation (DKB 14 Study)”. BMJ Open, 5, e008356.
Yamamoto, M. and Hayashi, K. (2015). “Clustering of multivariate binary data with dimension reduction via L1-regularized likelihood maximization”. Pattern Recognition, 48: 3959-3968.
Hojo, S., Yamamoto, M., and Kano, Y. (2015). “Effect of violation of the normal assumption on MI and ML estimators in the analysis of incomplete data”. Communications in Statistics – Theory and Methods, 44: 3234–3250.
Hirose, K. and Yamamoto, M. (2015). “Sparse estimation via nonconcave penalized likelihood in factor analysis model”. Statistics and Computing, 25: 863-875.
Nakagawa, T., Kumakawa, K., Usami, S., Hato, N., Tabuchi, K., Takahashi, M., Fujisawa, K., Sasaki, A., Komune, S., Sakamoto, T., Hiraumi, H., Yamamoto, N., Tanaka, S., Tada, H., Yamamoto, M., Yonezawa, A., Ito-Ihara, T., Ikeda, T., Shimizu, A., Tabata, Y., and Ito, J. (2014). “A randomized controlled clinical trial of topical insulin-like growth factor-1 therapy for sudden deafness refractory to systemic corticosteroid treatment”. BMC Medicine, 12, 219.
Hirose, K. and Yamamoto, M. (2014). “Estimation of an oblique structure via penalized likelihood factor analysis”. Computational Statistics & Data Analysis, 79: 120-132.
Yamamoto, M. and Terada, Y. (2014). “Functional factorial K-means analysis”. Computational Statistics & Data Analysis, 79: 133-148.
Yamamoto, M. and Hwang, H. (2014). “A general formulation of cluster analysis with dimension reduction and subspace separation”. Behaviormetrika, 41: 115-129.
Yamamoto, M. and Jennrich, R. I. (2013). “A cluster-based factor rotation”. British Journal of Mathematical and Statistical Psychology, 66: 488-502.
Yamamoto, M. (2012). “Clustering of functional data in a low-dimensional subspace”. Advances in Data Analysis and Classification, 6(3): 219-247
