Perform relative survival analyses using approaches described in Remontet et al. (2007) doi: 10.1002/sim.2656 and Mahboubi et al. (2011) doi: 10.1002/sim.4208. The package implements non-linear, non-proportional effects and both non proportional and non linear effects using splines (B-spline and truncated power basis).

Package: | flexrsurv |

Type: | Package |

Version: | 1.1.1 |

Date: | 2015-03-30 |

License: | GPL(>)2.0) |

The main function is `flexrsurv()`

Michel Grzebyk and Isabelle Clerc-Urm?s, with contributions from the CENSUR working survival group.

Maintainer: <michel.grzebyk@inrs.fr>

Mahboubi, A., M. Abrahamowicz, et al. (2011). "Flexible modeling of
the effects of continuous prognostic factors in relative survival." Stat
Med 30(12): 1351-1365. doi: 10.1002/sim.4208

Remontet, L., N. Bossard, et al. (2007). "An overall strategy based
on regression models to estimate relative survival and model the effects
of prognostic factors in cancer survival studies." Stat Med 26(10):
2214-2228. doi: 10.1002/sim.2656

`flexrsurv`

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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