The Institute of Statistical Mathematics, Tokyo, Japan

Hisashi Noma's Homepage





      ISBN 978-4860435806 エヌ・ティー・エス,東京

     Frontiers of Biostatistical Methods and Applications in Clinical Oncology
      Edited by Matsui, S. and Crowley, J.

      1st Edition, September 2017

      489 PagesHardcover
      ISBN 978-9811001246 Springer, New York



      ISBN 978-4000298476 岩波書店,東京

     Design and Analysis of Clinical Trials for Predictive Medicine
      Edited by Matsui, S., Buyse, M. and Simon, R.

      1st Edition, April 2015

      400 Pages, Hardcover
      ISBN 978-1466558151 Chapman and Hall/CRC, Boca Raton

     Statistical Diagnostics for Cancer
      Edited by Emmert-Streib, F. and Dehmer, M.

      1st Edition, January 2013

      312 Pages, Hardcover
      ISBN 978-3527332625 Wiley-VCH, Weinheim

     Handbook of Statistics in Clinical Oncology
      Edited by Crowley, J. and Hoering, A.
      3rd Edition, April 2012

      657 Pages, Hardcover
      ISBN 978-1439862001 Chapman & Hall/CRC, Boca Raton

Selected Papers

1. 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
2. Matsui, S. and Noma, H. (2011). Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics. Biostatistics 12: 223-233. DOI: 10.1093/biostatistics/kxq057
3. Matsui, S. and Noma, H. (2011). Estimating effect sizes of differentially expressed genes for power and sample size assessments in microarray experiments. Biometrics 67: 1225-1235. DOI: 10.1111/j.1541-0420.2011.01618.x
4. Noma, H. (2011). Confidence intervals for a random-effects meta-analysis based on Bartlett-type corrections. Statistics in Medicine 30: 3304-3312. DOI: 10.1002/sim.4350
5. 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
6. Noma, H. and Matsui, S. (2013). Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies. Statistics in Medicine 32: 1904-1916. DOI: 10.1002/sim.5718
7. Furukawa, T. A., Noma, H., Caldwell, D., Honyashiki, M., Shinohara, K., Imai, H., Hunot, V. and Churchill, R. (2014). Is a waiting list control a nocebo condition in psychotherapy trials? A contribution from network meta-analysis. Acta Psychiatrica Scandinavica 130: 181-192. DOI: 10.1111/acps.12275. [Featured as "Article of the Month" of Acta Psychiatrica Scandinavica]
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. Matsui, S., Noma, H., Qu, P., Sakai, Y., Matsui, K., Heuck, C. and Crowley, J. (2017). Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: application to a randomized clinical trial in multiple myeloma. Biometrics 74: 313-320. DOI: 10.1111/biom.12716.
10. Noma, H. and Tanaka, S. (2017). Analysis of case-cohort designs with binary outcomes: Improving efficiency using whole-cohort auxiliary information. Statistical Methods in Medical Research 26: 691-706. DOI: 10.1177/0962280214556175.
11. 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.
12. Noma, H., Nagashima, K., Maruo, K., Gosho, M. and Furukawa, T. A. (2018). Bartlett-type corrections and bootstrap adjustments of likelihood-based inference methods for network meta-analysis. Statistics in Medicine 37: 1178-1190. DOI: 10.1002/sim.7578.
13. Nagashima, K., Noma, H. and Furukawa, T. A. (2018). Prediction intervals for random-effects meta-analysis: A confidence distribution approach. Statistical Methods in Medical Research, DOI: 10.1177/0962280218773520.

Google Scholar Citation: Hisashi Noma@The Institute of Statistical Mathematics

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