Description Usage Arguments Value References

Prepare the data for use with `RMSTplot`

. This function computes RMSTD over
specified time horizons and also fits a flexible parametric model to each trial.
It calls the `metaRMSTD`

function to compute the estimated combined effects for each of the 4 methods.

1 2 3 |

`trialdata` |
IPD trial data |

`time_horizons` |
specified vector of time horizons for the meta-analysis |

`tmax` |
maximum value for RMSTD to be calculated in each trial |

`tstep` |
increment for calculation of RMSTD over time interval from 0 to tmax; default=0.25 |

`nboot` |
the number of bootstrap iterations, if using the MVMA with bootstrap covariance matrix; default=500 |

`MA_mvma` |
TRUE or FALSE indicates whether to include combined effect by this method |

`MA_mvma_boot` |
TRUE or FALSE indicates whether to include combined effect by this method |

`MA_uni` |
TRUE or FALSE indicates whether to include combined effect by this method |

`MA_uni_flex` |
TRUE or FALSE indicates whether to include combined effect by this method |

an object to be plotted with `RMSTplot`

Royston, P. and Parmar, MK. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Stat. Med. 2002.

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