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
-
studlab
: ID variable of studies. -
treat1
: The treatment of arm 1. -
treat2
: The treatment of arm 2. -
TE
: The log hazard ratio estimate. -
seTE
: Standard error estimate for the log hazard ratio. -
n1
: The sample size of arm 1. -
n2
: The sample size of arm 2.
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)