Description Usage Arguments Value See Also Examples

This function returns coefficients estimates and their standard error with p-values of the Wald test for the longitudinal outcome and hazard ratios (HR) and their confidence intervals for the terminal event.

1 2 3 |

`object` |
an object inheriting from |

`level` |
significance level of confidence interval. Default is 95%. |

`len` |
the total field width for the terminal part. Default is 6. |

`d` |
the desired number of digits after the decimal point. Default of 6 digits is used. |

`lab` |
labels of printed results for the longitudinal outcome and the terminal event respectively. |

`...` |
other unused arguments. |

For the longitudinal outcome it prints the estimates of coefficients of the fixed covariates with their standard error and p-values of the Wald test. For the terminal event it prints HR and its confidence intervals for each covariate. Confidence level is allowed (level argument).

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
## Not run:
###--- Trivariate joint model for longitudinal data, ---###
###--- recurrent events and a terminal event ---###
data(colorectal)
data(colorectalLongi)
# Weibull baseline hazard function
# Random effects as the link function, Gap timescale
# (computation takes around 30 minutes)
model.weib.RE.gap <-trivPenal(Surv(gap.time, new.lesions) ~ cluster(id)
+ age + treatment + who.PS + prev.resection + terminal(state),
formula.terminalEvent =~ age + treatment + who.PS + prev.resection,
tumor.size ~ year * treatment + age + who.PS, data = colorectal,
data.Longi = colorectalLongi, random = c("1", "year"), id = "id",
link = "Random-effects", left.censoring = -3.33, recurrentAG = FALSE,
hazard = "Weibull", method.GH="Pseudo-adaptive", n.nodes = 7)
summary(model.weib.RE.gap)
## End(Not run)
``` |

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