Survival analysis

Flexible Parametric Survival Model (Royston-Parmar)

The Royston-Parmar model, introduced by Royston and Parmar in 2002, is a modern parametric approach to survival analysis that replaces the rigid distributional assumptions of classical models with a restricted cubic spline fitted to the log-cumulative-hazard scale. It combines the interpretability of a fully parametric model with the flexibility to capture non-standard hazard shapes, and it supports proportional-hazards, accelerated failure-time, and proportional-odds link functions.

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Sources

  1. Royston, P. & Parmar, M.K.B. (2002). Flexible Parametric Proportional-Hazards and Proportional-Odds Models for Censored Survival Data, with Application to Prognostic Modelling and Estimation of Treatment Effects. Statistics in Medicine, 21(15), 2175–2197. DOI: 10.1002/sim.1203

Related methods

Referenced by

ScholarGateRoyston-Parmar Model (Flexible Parametric Survival Model (Royston-Parmar)). Retrieved 2026-06-04 from https://scholargate.app/tr/survival/flexible-parametric-survival