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

Publications

Selected Publications (Statistical Methods)

  1. Noma, H. (2026). Pseudo-data augmentation for exact conditional likelihood inference in meta-analysis. Biometrics. To appear.
  2. Noma, H., Maruo, K., Tanaka, S., and Furukawa, T. A. (2026). NMA: Network meta-analysis based on multivariate meta-analysis and meta-regression models in R. Research Synthesis Methods. To appear.
  3. Noma, H. and Gosho, M. (2025). Logistic mixed-effects model analysis with pseudo-observations for estimating risk ratios in clustered binary data analysis. Statistics in Medicine 44: e70280. DOI: 10.1002/sim.70280.
  4. Noma, H., Sugasawa, S., and Furukawa, T. A. (2024). Robust inference methods for meta-analysis involving influential outlying studies. Statistics in Medicine 43: 3778–3791. DOI: 10.1002/sim.10157.
  5. 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.
  6. Noma, H., Nagashima, K., and Furukawa, T. A. (2020). Permutation inference methods for multivariate meta-analysis. Biometrics 76: 337–347. DOI: 10.1111/biom.13134.
  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. 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.
  9. 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.
  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.

Selected Publications (Real-World Data)

  1. Noma, H., Goto, A., Sugimoto, T., Sunada, H., Oda, F., Maeda, M., and Fukuda, H. (2026). Real-world effectiveness of SGLT2 inhibitors in adults aged 75 years or older: a target trial emulation. Age and Ageing 55. DOI: 10.1093/ageing/afag246.
  2. Noma, H., Kurita, N., Fukuma, S., Fujisawa, T., Oda, F., Maeda, M., and Fukuda, H. (2026). Heart failure and renal outcomes with angiotensin receptor blockers compared with calcium channel blockers in patients with chronic kidney disease: a target trial emulation. Heart. DOI: 10.1136/heartjnl-2026-328193.
  3. Noma, H., Sunada, H., Sugimoto, T., Fujisawa, T., Oda, F., Maeda, M., and Fukuda, H. (2026). Angiotensin receptor blockers and dementia risk in older adults: a target trial emulation. Alzheimer's & Dementia. DOI: 10.1002/alz.71692.
  4. Noma, H., Sunada, H., Sugimoto, T., Sada, K. E., Oda, F., Maeda, M., and Fukuda, H. (2026). Angiotensin receptor blockers versus calcium channel blockers for first-line antihypertensive therapy and survival in adults aged 75 years or older. Journal of the American Geriatrics Society 74: 1938–1949. DOI: 10.1111/jgs.70463.
  5. Noma, H., Yamazaki, H., Sunada, H., Oda, F., Maeda, M., and Fukuda, H. (2026). Sustained use of SGLT2 inhibitors and cardiovascular outcomes in older adults: a landmark cohort study. Diabetes, Obesity and Metabolism 28: 9385–9394. DOI: 10.1111/dom.71151.

Selected Publications (Systematic Review)

  1. Cuijpers, P., Quero, S., Noma, H., Ciharova, M., Miguel, C., Karyotaki, E., Cipriani, A., Cristea, I., and Furukawa, T. A. (2021). Psychotherapies for depression: a network meta-analysis covering efficacy, acceptability and long-term outcomes of all main treatment types. World Psychiatry 20: 283–293. DOI: 10.1002/wps.20860.
  2. Cuijpers, P., Noma, H., Karyotaki, E., Vinkers, C., Cipriani, A., and 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.
  3. Cuijpers, P., Noma, H., Karyotaki, E., Cipriani, A., and 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.
  4. 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.
  5. 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.

Selected Publications (Clinical Trials)

  1. Akechi, T., Noma, H., Tajika, A., Toyomoto, R., Sakata, M., Luo, Y., Horikoshi, M., Kawakami, N., Nakayama, T., Kondo, N., Fukuma, S., and Furukawa, T. A. (2026). Cognitive and behavioural skills to prevent major depression among adults with subthreshold depression: 50-week follow-up analysis of smartphone CBT randomised trials (RESiLIENT trial). British Journal of Psychiatry. DOI: 10.1192/bjp.2026.10630.
  2. Luo, Y., Inoue, K., Tajika, A., Toyomoto, R., Sakata, M., Akechi, T., Horikoshi, M., Noma, H., and Furukawa, T. A. (2026). Smartphone CBT engagement and depressive symptoms: secondary analysis of the RESiLIENT trial using a time-varying exposure approach. Psychological Medicine 56: e145. DOI: 10.1017/S0033291726104279.
  3. Furukawa, T. A., Noma, H. (co-first), Tajika, A., Toyomoto, R., Sakata, M., Luo, Y., Horikoshi, M., Akechi, T., Kawakami, N., Nakayama, T., Kondo, N., Fukuma, S., Wason, J. M. S., Kessler, R. C., Lutz, W., and Cuijpers, P. (2025). Personalised & optimised therapy (POT) algorithm using five cognitive and behavioural skills for subthreshold depression. npj Digital Medicine 8: 531. DOI: 10.1038/s41746-025-01906-6.
  4. Furukawa, T. A., Tajika, A., Toyomoto, R., Sakata, M., Luo, Y., Horikoshi, M., Akechi, T., Kawakami, N., Nakayama, T., Kondo, N., Fukuma, S., Kessler, R. C., Christensen, H., Whitton, A., Nahum-Shani, I., Lutz, W., Cuijpers, P., Wason, J. M. S., and Noma, H. (2025). Cognitive behavioral therapy skills via a smartphone app for subthreshold depression among adults in the community: the RESiLIENT randomized controlled trial. Nature Medicine 31: 1830–1839. DOI: 10.1038/s41591-025-03639-1.
  5. Toyomoto, R., Tajika, A., Luo, Y., Sakata, M., Akechi, T., Nakayama, T., Kondo, N., Fukuma, S., Horikoshi, M., Wason, J. M. S., Noma, H., and Furukawa, T. A. (2025). Smartphone based cognitive behavioural therapy for adults with no or minimal depressive symptoms in Japan: an exploratory secondary analysis of RESiLIENT trial. The Lancet Regional Health – Western Pacific 64: 101741. DOI: 10.1016/j.lanwpc.2025.101741.