Portfolios 2026 Fine–Gray Competing Risks Analysis for Lung Transplantation Outcomes in Interstitial Lung Disease | BMC Pulmonary Medicine

Fine–Gray Competing Risks Analysis for Lung Transplantation Outcomes in Interstitial Lung Disease | BMC Pulmonary Medicine

    A research paper for which Dr. Data Science’s Kenichiro Suzuki provided statistical analysis support has been accepted and published in the peer-reviewed international journal BMC Pulmonary Medicine (published in April 2026).

     

    ■ Publication Information

    Title: Predictors of survival and transplantation outcomes in Japanese patients with interstitial lung disease referred for lung transplantation: a retrospective single-center study

    Authors: Kitayama T., Kitamura H., Hagiwara E., et al.

    Journal: BMC Pulmonary Medicine

    Article URL:
    https://link.springer.com/article/10.1186/s12890-026-04280-5

     

    ■ Our Contribution

    In this study, we provided comprehensive statistical support, with a particular focus on the development and interpretation of the Fine–Gray competing risks model, which appropriately accounts for the competing outcomes of death and lung transplantation.

    The research team kindly acknowledged our contribution in the paper as follows:

    “The authors thank Mr. Kenichiro Suzuki from Dr. Data Science for his invaluable guidance in the statistical analysis. His expertise was essential for the proper execution and interpretation of the statistical methods used in this study.”

    We are honored to have contributed to this important research and remain committed to supporting researchers in achieving high-quality scientific outcomes. Please feel free to contact us if you require assistance with statistical analysis or biostatistical consulting.

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