Generating survival times to simulate Cox proportional hazards models
By R. Bender, Thomas Augustin, M. Blettner. Statistics in Medicine, 2005
926 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ef249af869777d22ebecbcd2c6e27e71a61011dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Thomas Kneib
- Torsten Hothorn
- Douglas G. Altman
- Ludwig Fahrmeir
- Patrick Royston
- Peter Buhlmann
- Lisa Möst
- Karel G. M. Moons
In Statistics and Probability
- Thomas Kneib
- Torsten Hothorn
- Peter Buhlmann
- Douglas G. Altman
- Patrick Royston
- Ludwig Fahrmeir
- Lisa Möst
- Stefan Lang
Citations in the corpus
- A Mixed Model Approach for Geoadditive Hazard Regression (2007, methodology): “We used a technique described in Bender et al. (2005) that allows the simulation of Cox models with arbitrary baseline hazard as long as the cumulative baseline hazard 0(t) and its inverse −1 0 (t) are available (at least for numerical evaluation).”
- The design of simulation studies in medical statistics (2006, background): “[18] discuss the generation of survival times from a variety of survival distributions including”
- The performance of different propensity score methods for estimating marginal hazard ratios (2007, neutral): “[22].”
- Most Likely Transformations (2015, methodology): “This generalises the method published by Bender et al. (2005) from the Cox model to all conditional transformation models.”