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survNMA
View on CRAN: Click
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Download and install survNMA package within the R console
Install from CRAN:
install.packages("survNMA")
Install from Github:
library("remotes")
install_github("cran/survNMA")
Install by package version:
library("remotes")
install_version("survNMA", "1.1-1")
Attach the package and use:
library("survNMA")
Maintained by
Hisashi Noma
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.survNMA . survNMA results . survNMA.pdf . survNMA_1.1-1.tar.gz . survNMA_1.1-1.zip . survNMA_1.1-1.zip . survNMA_1.1-1.zip . survNMA_1.1-1.tgz . survNMA_1.1-1.tgz . survNMA_1.1-1.tgz . survNMA_1.1-1.tgz . survNMA_1.1-1.tgz . survNMA_1.1-1.tgz . https://CRAN.R-project.org/package=survNMA .
First Published: 2025-01-31
Latest Update: 2025-01-31
Description:
Network meta-analysis for survival outcome data often involves several studies only involve dichotomized outcomes (e.g., the numbers of event and sample sizes of individual arms).To combine these different outcome data, Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian approach using complicated hierarchical models. Besides, frequentist approaches have been alternative standard methods for the statistical analyses of network meta-analysis, and the methodology has been well established. We proposed an easy-to-implement method for the network meta-analysis based on the frequentist framework in Noma and Maruo (2025) <doi:10.1101/2025.01.23.25321051>. This package involves some convenient functions to implement the simple synthesis method.
How to cite:
Hisashi Noma (2025). survNMA: Network Meta-Analysis Combining Survival and Count Outcomes. R package version 1.1-1, https://cran.r-project.org/web/packages/survNMA. Accessed 08 Apr. 2025.
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