calcHR {survNMA} | R Documentation |
Computation of log hazard ratio estimate and its standard error estimate from dichotomized data
Description
Log hazard ratio estimate and its standard error estimate are calculated from dichotomized data.
Usage
calcHR(d1,n1,d0,n0)
Arguments
d1 |
The number of events in arm 1. |
n1 |
The number of sample size in arm 1. |
d0 |
The number of events in arm 2. |
n0 |
The number of sample size in arm 2. |
Value
-
TE
: The log hazard ratio estimate. -
seTE
: Standard error estimate for the log hazard ratio.
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
calcHR(1,229,1,227)
calcHR(4,374,7,361)
calcHR(3,372,7,361)
calcHR(2,358,7,361)
[Package survNMA version 1.1-1 Index]