Letter to the Editor: Robustness of osteoporosis risk prediction models with enhanced statistical analyses.

Journal: Computers in biology and medicine
Published Date: Jul 11, 2025

Abstract

In response to Oka et al.'s letter, we conducted additional statistical analyses to validate the robustness of our osteoporosis risk prediction model using NHANES 2007-2014 data (n = 7924). We evaluated 10 key predictors through Spearman's rho, Kendall's tau, Mutual Information (MI), and Total Correlation. Weight (BMX_BMXWT) and arm circumference (BMX_BMXARMC) showed strong negative correlations with osteoporosis risk (rho: 0.49, -0.47, p < 1e-270; MI: 0.17, 0.15), while age (DEMO_RIDAGEYR) exhibited a positive correlation (rho: 0.33, p < 1e-128; MI: 0.08). Total Correlation (32.68) confirmed significant multivariate interactions among predictors. These findings reinforce the model's predictive strength, addressing Oka et al.'s recommendations and affirming the importance of anthropometric and demographic factors in osteoporosis risk assessment.

Authors

  • Filipe Ricardo Carvalho
    Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal; Centre of Marine Sciences (CCMAR/CIMAR LA), University of Algarve, Faro, Portugal; University of Algarve - Campus de Gambelas, Faro 8005-139, Portugal. Electronic address: frcarvalho@ualg.pt.
  • Paulo Jorge Gavaia
    Faculty of Medicine and Biomedical Sciences, University of Algarve, Faro, Portugal; Centre of Marine Sciences (CCMAR/CIMAR LA), University of Algarve, Faro, Portugal; University of Algarve - Campus de Gambelas, Faro 8005-139, Portugal.

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