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Beyond hazard ratios: Method-specific reporting for reproducible competing-risk prediction in Stata

Author

Listed:
  • Aisha Vayani

    (University of Leicester)

  • Mark Rutherford

    (University of Leicester)

Abstract

Reporting guidance for prediction models increasingly emphasizes transparency, reproducibility, and external validation. However, competing-risk prognostic models pose specific challenges for reporting absolute risk. Patient-level cumulative incidence predictions cannot usually be reproduced from coefficients or hazard ratios alone; they also depend on event definitions, competing-event coding, covariate transformations, baseline functions, prediction horizons, postestimation routines, and software implementation details. We aim to develop practical, method-specific recommendations for reporting competing-risk prognostic prediction models, focusing on what authors should provide so that another analyst can reproduce predicted cumulative incidence in software such as Stata.

Suggested Citation

  • Aisha Vayani & Mark Rutherford, 2026. "Beyond hazard ratios: Method-specific reporting for reproducible competing-risk prediction in Stata," UK Stata Conference 2026 08, Stata Users Group.
    • Handle: RePEc:boc:lsug26:08
    as

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