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

日本語 English

Software

R Packages Available on CRAN

  1. boutliers : Outlier detection and influence diagnostics for meta-analysis. Version 1.1-2, May 2023.
  2. PINMA : Improved methods for constructing prediction intervals in network meta-analysis. Version 1.1-2, May 2023.
  3. robustmeta : Robust inference for meta-analysis with influential outlying studies. Version 1.1-1, July 2022.
  4. dmetatools : Computational tools for meta-analysis of diagnostic accuracy studies. Version 1.1-1, May 2023.
  5. MVPBT : Publication-bias tests for meta-analysis of diagnostic accuracy studies. Version 1.1-1, May 2023.
  6. NMA : Network meta-analysis based on multivariate meta-analysis models. Version 1.4-1, December 2023.
  7. rqlm : Modified Poisson and least-squares regressions for binary outcomes. Version 1.2-1, January 2024.
  8. survNMA : Network meta-analysis combining survival and count outcomes. Version 1.1-1, January 2025.
  9. TTE : Design and analysis tools for target trial emulation. Version 1.1-1, July 2026.

Statistical Analysis Programs and Example Code

  1. R code for “Noma, H. (2011). Confidence intervals for a random-effects meta-analysis based on Bartlett-type corrections. Statistics in Medicine 30: 3304–3312.”
    R package   Vignettes
  2. Takai, K., Hoshino, T., and Noma, H. (2016). The Statistical Science of Missing Data: Applications in Medicine and the Social Sciences [in Japanese] . Tokyo: Iwanami Shoten.
    Datasets and code examples [website in Japanese]
  3. Statistical Analysis of Nested Case-Control and Case-Cohort Studies Using R [in Japanese] (Epidemiology Seminar, 27th Annual Meeting of the Japan Epidemiological Association, January 7, 2017)
    R code examples
  4. Multiple Imputation by Chained Equations (MICE): R example code using the mice package (Biostatistics Seminar, National Cancer Center Japan, January 2017; the example ovarian-cancer dataset can be downloaded here ; January 14, 2017).
  5. Discrimination and Calibration Methods for Logistic Regression: R example code (2018 Biometric Seminar of the Biometric Society of Japan; the example dataset can be downloaded here ; November 2, 2018).
  6. Discrimination and Calibration Methods for Cox Regression: R example code (2018 Biometric Seminar of the Biometric Society of Japan; the example dataset can be downloaded here ; November 2, 2018).
  7. R example code for the predboot package (May 15, 2020).
  8. R example code for the dmetatools package (September 13, 2022).
  9. R example code for the MVPBT package (September 16, 2022).
  10. R example code for the NMA package (July 6, 2023).
  11. R example code for Bayesian meta-analysis using OpenBUGS (2023 Biometric Seminar of the Biometric Society of Japan; December 14, 2023).
  12. R example code for the rqlm package . Tutorial [in Japanese] (January 23, 2025).
  13. R example code for the survNMA package (January 30, 2025).