Description Usage Arguments Value Author(s) Examples

Produces a summary of a fitted coxidm model (proportional hazards regression model in each transition of the Illness-Death Model.

1 2 |

`object` |
A fitted |

`conf.level` |
level for computation of the confidence intervals.
If set to |

`...` |
Other options. |

A data frame or a list containing the following components:

`coef` |
Estimated coeficients. |

`exp(coef)` |
Exponent of the estimated coefficients. |

`lower 0.95` |
Lower limit of the confidence interval. |

`upper 0.95` |
Upper limit of the confidence interval. |

`pvalue` |
obtained pvalue testing that the coefficient is equals to zero. |

Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho.

1 2 3 4 5 6 7 8 9 10 | ```
cmm1 <- coxidm(survIDM(time1, event1, Stime, event) ~ age, data = colonIDM)
summary(cmm1, conf.level = 0.95)
cmm2 <- coxidm(survIDM(time1, event1, Stime, event) ~ rx + sex + age + nodes,
data = colonIDM)
summary(cmm2)
cmm3 <- coxidm(survIDM(time1, event1, Stime, event) ~ rx + sex + age + nodes,
data = colonIDM, semiMarkov = TRUE)
summary(cmm3)
``` |

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