Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
By Patrick Royston, Paul C. Lambert. 2011
559 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8560a27c7530a1a6f3e6d6fc1d129d54dc764465
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- C. Jackson
- Patrick Royston
- Douglas G. Altman
- H. Bower
- Mahesh K B Parmar
- Paul C. Lambert
- M. Björkholm
- Gary S. Collins
Citations in the corpus
- Restricted mean survival time: an alternative to the hazard ratio for the design and analysis of randomized trials with a time-to-event outcome (2013, methodology): “As we discussed in our previous paper [1], several methods of estimating RMST are available, including direct integration of Kaplan-Meier survival curves, a jackknife method, and flexible parametric regression modelling [10,11].”
- Life Expectancy of Patients With Chronic Myeloid Leukemia Approaches the Life Expectancy of the General Population. (2016, methodology): “The LEL and PELL were predicted from a flexible parametric relative survival model with five degrees of freedom to model the baseline excess hazard.(16,17) Age at diagnosis, year of diagnosis, and sex were all modeled (age and year that continuously used restricted cubic splines(18)), and interactio”
- flexsurv: A Platform for Parametric Survival Modeling in R. (2016, background): “An advantage explained by Royston and Lambert (2011) is that when there are multiple time-dependent effects, time-dependent hazard ratios can be interpreted independently of the values of other covariates.”
- External validation of a Cox prognostic model: principles and methods (2013, background): “By contrast, parametric models, although much less popular, are fully specified and therefore can estimate absolute risks and survival probabilities [12,15].”