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metaRMST  

Meta-Analysis of RMSTD
View on CRAN: Click here


Download and install metaRMST package within the R console
Install from CRAN:
install.packages("metaRMST")

Install from Github:
library("remotes")
install_github("cran/metaRMST")

Install by package version:
library("remotes")
install_version("metaRMST", "1.0.0")



Attach the package and use:
library("metaRMST")
Maintained by
Isabelle Weir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2018-12-18
Description:
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.
How to cite:
Isabelle Weir (2018). metaRMST: Meta-Analysis of RMSTD. R package version 1.0.0, https://cran.r-project.org/web/packages/metaRMST. Accessed 09 Jan. 2025.
Previous versions and publish date:
1.0.0 (2018-12-18 11:30)
Other packages that cited metaRMST R package
View metaRMST citation profile
Other R packages that metaRMST depends, imports, suggests or enhances
Functions, R codes and Examples using the metaRMST R package
Some associated functions: AorticStenosisTrials . RMSTcurves . RMSTplot . metaRMSTD . 
Some associated R codes: AS_data.R . RMSTcurves.R . RMSTplot.R . metaRMSTD.R . vartocov.R .  Full metaRMST package functions and examples
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