Hisashi Noma’s
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The Institute of Statistical Mathematics, Tokyo, Japan

出版物

Selected Books

Selected Papers

  1. Noma, H., Sugasawa, S. and Furukawa, T. A. (2024). Robust inference methods for meta-analysis involving influential outlying studies. Statistics in Medicine. DOI: 10.1002/sim.10157.
  2. Noma, H., Shinozaki, T., Iba, K., Teramukai, S. and Furukawa, T. A. (2021). Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap-based optimism correction methods. Statistics in Medicine 40: 5691-5701. DOI: 10.1002/sim.9148.
  3. Noma, H., Gosho, M., Ishii, R., Oba, K. and Furukawa, T. A. (2020). Outlier detection and influence diagnostics in network meta-analysis. Research Synthesis Methods 11: 891-902. DOI: 10.1002/jrsm.1455.
  4. Noma, H., Nagashima, K., Furukawa, T. A. (2020). Permutation inference methods for multivariate meta-analysis. Biometrics 76: 337-347. DOI: 10.1111/biom.13134.
  5. Cuijpers, P., Noma, H., Karyotaki, E., Vinkers, C., Cipriani, A., Furukawa, T. A. (2020). A network meta-analysis of the effects of psychotherapies, pharmacotherapies and their combination in the treatment of adult depression. World Psychiatry 19: 92-107. DOI: 10.1002/wps.20701.
  6. Cuijpers, P., Noma, H., Karyotaki, E., Cipriani, A., Furukawa, T. A. (2019). Effectiveness and acceptability of cognitive behavior therapy delivery formats in adults with depression: A network meta-analysis. JAMA Psychiatry 76: 700-707. DOI: 10.1001/jamapsychiatry.2019.0268.
  7. Noma, H., Tanaka, S., Matsui, S., Cipriani, A. and Furukawa, T. A. (2017). Quantifying indirect evidence in network meta-analysis. Statistics in Medicine 36: 917-927. DOI: 10.1002/sim.7187.
  8. Miura, T., Noma, H., Furukawa, T. A., Mitsuyasu, H., Tanaka, S., Stockton, S., Salanti, G., Motomura, K., Shimano-Katsuki, S., Leucht, S., Cipriani, A., Geddes, J. R. and Kanba, S. (2014). Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: a network meta-analysis. Lancet Psychiatry 1: 351-359. DOI: 10.1016/S2215-0366(14)70314-1. [Press Release; Kyushu University, 2014/09/19]
  9. Noma, H. and Matsui, S. (2012). The optimal discovery procedure in multiple significance testing: an empirical Bayes approach. Statistics in Medicine 31: 165-176. DOI: 10.1002/sim.4375
  10. Noma, H., Matsui, S., Omori, T. and Sato, T. (2010). Bayesian ranking and selection methods using hierarchical mixture models in microarray studies. Biostatistics 11: 281-289. DOI: 10.1093/biostatistics/kxp047

Full Publication List: Curriculum Vitae (November 5, 2024)

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