cox.tvc | R Documentation |

`coxph`

modelTest for a time-varying effect in the `coxph`

model by re-fitting
the partial likelihood including a time-varying effect, plot
the effect size, and return the re-fitted model. The
main advantage of this function over the `tt()`

special is
that it scales well for moderate sized datasets
(cf. `tt`

which expands the dataset and scales very poorly).

cox.tvc(obj, var=NULL, method="logt")

`obj` |
A |

`var` |
String for the effect name. Currently assumes simple continuous effects. |

`method` |
A string representing the possible time transformations. Currently only "logt". |

Returns a `tvcCoxph`

object (which inherits from the `mle2`

class) of the re-fitted model.

`coxph`

, `cox.zph`

## As per the example for cox.zph: fit <- coxph(Surv(futime, fustat) ~ age + ecog.ps, data=ovarian) temp <- rstpm2:::cox.tvc(fit, "age") print(temp) # display the results plot(temp) # plot curves

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