calcHR: Computation of log hazard ratio estimate and its standard...

In survNMA: Network Meta-Analysis Combining Survival and Count Outcomes

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)

survNMA documentation built on April 3, 2025, 6:02 p.m.