# Hazard functions from network meta-analysis

Source: `R/data.R`
`mstate_nma_hazard.Rd`

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