Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome

  • Chao Cheng
  • , Donna Spiegelman
  • , Fan Li

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We investigate the impact of exposure measurement error on assessing mediation with a survival outcome modelled by Cox regression. We first derive the bias formulas of natural indirect and direct effects with a rare outcome and no exposure-mediator interaction. We then develop several calibration approaches to correct for the measurement error-induced bias, and generalize our methods to accommodate a common outcome and an exposure-mediator interaction. We apply the proposed methods to analyse the Health Professionals Follow-up Study (1986-2016) and evaluate the extent to which reduced body mass index mediates the protective effect of physical activity on risk of cardiovascular diseases.

    Original languageEnglish
    Pages (from-to)969-993
    Number of pages25
    JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
    Volume74
    Issue number4
    DOIs
    StatePublished - Nov 1 2025

    Keywords

    • Bias analysis
    • measurement error correction
    • mediation proportion
    • natural indirect effect
    • regression calibration
    • time-to-event data

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