pairwiseHR {survNMA}R Documentation

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

Description

Log hazard ratio estimate and its standard error estimate are calculated from dichotomized dataset simultaneously.

Usage

pairwiseHR(treat, studlab, event, n, data)

Arguments

treat

The treatments of individual arms.

studlab

ID variable of studies.

event

The number of events of individual arms.

n

The number of sample size of individual arms.

data

The dataset object.

Value

References

Noma, H. and Maruo, K. (2025). Network meta-analysis combining survival and count outcome data: A simple frequentist approach. medRxiv: 10.1101/2025.01.23.25321051.

Salika, T., Turner, R. M., Fisher, D., Tierney, J. F. and White, I. R. (2022). Implications of analysing time-to-event outcomes as binary in meta-analysis: empirical evidence from the Cochrane Database of Systematic Reviews. BMC Medical Research Methodology 22, 73.

Examples

data(woods2)

pairwiseHR(treat, studlab=study, event=d, n, data=woods2)

[Package survNMA version 1.1-1 Index]