Hazard functions from network meta-analysis

Hazard functions for each health state transition estimated using a Bayesian multi-state network meta-analyis (NMA).

mstate_nma_hazard

Format

A data.table with the following columns:

line

Line of treatment. Either first or second.

mutation

At 2nd line, equal to 1 if there is a T790M mutation and 0 otherwise.

model

The statistical model.

tx_name

Name of the treatment.

month

Trial month.

transition

The health state transition.

mean

Mean hazard from the posterior distribution.

median

Median hazard from the posterior distribution.

l95

Lower limit of 95 percent credible interval from posterior distribution.

u95

Upper limit of the 95 percent credible interval from the posterior distribution.

See also

mstate_nma_surv, mstate_nma_hr

Examples

head(mstate_nma_hazard)
#>    line mutation   model   tx_name month            transition       mean
#> 1:    1       NA Weibull erlotinib     0 Stable to progression 0.00000000
#> 2:    1       NA Weibull erlotinib     1 Stable to progression 0.01856030
#> 3:    1       NA Weibull erlotinib     2 Stable to progression 0.02333390
#> 4:    1       NA Weibull erlotinib     3 Stable to progression 0.02718846
#> 5:    1       NA Weibull erlotinib     4 Stable to progression 0.03056072
#> 6:    1       NA Weibull erlotinib     5 Stable to progression 0.03362348
#>        median         l95        u95
#> 1: 0.00000000 0.000000000 0.00000000
#> 2: 0.01669442 0.006649992 0.04093952
#> 3: 0.02203804 0.011704229 0.04221888
#> 4: 0.02636427 0.014921971 0.04643930
#> 5: 0.02973639 0.016256593 0.05189522
#> 6: 0.03244486 0.017186136 0.05676506