combine2

Merging two dataset for the analysis by <code>netmeta</code> package (e.g., an output object by <code>pairwiseHR</code> for dichotomized outcome dataset and the survival outcome dataset). The output object can be straightforwardly applied to the <code>netmeta</code> function.

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.

Hisashi Noma

survNMA

Network Meta-Analysis Combining Survival and Count Outcomes

combine2 function

<dl><dt>data1</dt>
<dd>Dataset 1.</dd><dt>data2</dt>
<dd>Dataset 2.</dd></dl>

Arguments

Merging two dataset for the analysis by "netmeta" — combine2

<dl>

<dt>data1</dt>
<dd>Dataset 1.</dd>

<dt>data2</dt>
<dd>Dataset 2.</dd>

</dl>

combine2: Merging two dataset for the analysis by "netmeta"

Description

Usage

Value

Arguments

References

Examples