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survNMA (version 1.1-1)

Network Meta-Analysis Combining Survival and Count Outcomes

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) 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) . This package involves some convenient functions to implement the simple synthesis method.

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Version

Install

install.packages('survNMA')

Monthly Downloads

108

Version

1.1-1

License

GPL-3

Maintainer

Hisashi Noma

Last Published

January 31st, 2025

Functions in survNMA (1.1-1)

pairwiseHR

Computation of log hazard ratio estimate and its standard error estimate from dichotomized dataset
combine2

Merging two dataset for the analysis by "netmeta"
woods2

Dichotomized dataset of three trials provided in Woods et al. (2010)
calcse

Computation of standard error estimate of a contrast measure from a multi-arm trial
calcHR

Computation of log hazard ratio estimate and its standard error estimate from dichotomized data
survNMA-package

The 'survNMA' package
woods1

Hazard ratio statistics of two trials directly extracted in Woods et al. (2010)