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

install.packages("devtools")
library(devtools)
devtools::install_github("iweir/metaRMST")
library(metaRMST)

Example

# load library
library(metaRMST)

# read in built-in dataset 
data(AorticStenosisTrials)

# 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")
mvma_res$REresult

# 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)")

News

Reference manual

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install.packages("metaRMST")

1.0.0 by Isabelle Weir, 2 years ago


https://github.com/iweir/metaRMST


Browse source code at https://github.com/cran/metaRMST


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