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.
RMSTcurves(trialdata, time_horizons, tmax = max(time_horizons),
tstep = 0.25, nboot = 500, MA_mvma = TRUE, MA_mvma_boot = TRUE,
MA_uni = TRUE, MA_uni_flex = TRUE)IPD trial data
specified vector of time horizons for the meta-analysis
maximum value for RMSTD to be calculated in each trial
increment for calculation of RMSTD over time interval from 0 to tmax; default=0.25
the number of bootstrap iterations, if using the MVMA with bootstrap covariance matrix; default=500
TRUE or FALSE indicates whether to include combined effect by this method
TRUE or FALSE indicates whether to include combined effect by this method
TRUE or FALSE indicates whether to include combined effect by this method
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.