Meta-Analysis of RMSTD

R implementation of a multivariate meta-analysis of randomized controlled trials (RCT) with the difference in restricted mean survival times (RMSTD). Use this package with individual patient level data from an RCT for a time-to-event outcome to determine combined effect estimates according to 4 methods: 1) a univariate meta-analysis using observed treatment effects, 2) a univariate meta-analysis using effects predicted by fitted Royston-Parmar flexible parametric models, 3) multivariate meta-analysis with analytically derived covariance, 4) multivariate meta-analysis with bootstrap derived covariance. This package computes all combined effects and provides an RMSTD curve with combined effect estimates and their confidence intervals.

An R package for meta-analysis of RMSTD

R Installation Instructions



# load library

# read in built-in dataset 

# demonstration of meta-analysis to obtain combined effect by multivariate meta-analysis model (method="mvma")
mvma_res <- metaRMSTD(AorticStenosisTrials, time_horizons=c(12,24,36), MA_method="mvma")

# generate figure:
obj <- RMSTcurves(AorticStenosisTrials, time_horizons=c(12,24,36), tmax=40, nboot=50)
RMSTplot(obj, xlim=c(0,40), ylim=c(-0.25,2.75), yby=0.5, ylab="RMSTD (mos)", xlab="Time (mos)")


Reference manual

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1.0.0 by Isabelle Weir, 2 years ago

Browse source code at

Authors: Isabelle Weir [aut, cre] , Lu Tian [aut] , Ludovic Trinquart [aut]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-2 license

Imports mvmeta, meta, survival, survRM2, graphics

Depends on rstpm2

See at CRAN