Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

 Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

Patrick Royston and Paul Lambert

Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model takes standard survival models into a wider realm, greatly increasing their usefulness. Some applications include prognostic modelling, time-dependent effects of covariates, and relative survival. Royston-Parmar flexible parametric models are a key tool in the approach. They extend familiar parametric models (Weibull, loglogistic, and lognormal), offering a much wider range of distributional forms.

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