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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