# Progression-free survival and overall survival from network meta-analysis

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

Curves of progression-free survival (PFS) and overall survival (OS) estimated using a Bayesian multi-state network meta-analyis (NMA). PFS is the duration of time a patient is alive without disease progression and OS is the duration of a time a patient is alive.

    mstate_nma_pfs

    mstate_nma_os

## 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.

mean

  Mean PFS/OS from the posterior distribution.

median

  Median PFS/OS 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_hazard`, `mstate_nma_hr`

## Examples

    head(mstate_nma_pfs)#>    line mutation   model   tx_name month      mean    median       l95
    #> 1:    1       NA Weibull erlotinib     0 1.0000000 1.0000000 1.0000000
    #> 2:    1       NA Weibull erlotinib     1 0.9813128 0.9831876 0.9591186
    #> 3:    1       NA Weibull erlotinib     2 0.9584437 0.9612476 0.9197846
    #> 4:    1       NA Weibull erlotinib     3 0.9325516 0.9361429 0.8820475
    #> 5:    1       NA Weibull erlotinib     4 0.9043601 0.9075891 0.8382485
    #> 6:    1       NA Weibull erlotinib     5 0.8744189 0.8774188 0.7935833
    #>          u95
    #> 1: 1.0000000
    #> 2: 0.9931107
    #> 3: 0.9808260
    #> 4: 0.9653296
    #> 5: 0.9478870
    #> 6: 0.9284482head(mstate_nma_os)#>    line mutation   model   tx_name month      mean    median       l95
    #> 1:    1       NA Weibull erlotinib     0 1.0000000 1.0000000 1.0000000
    #> 2:    1       NA Weibull erlotinib     1 0.9990851 0.9993163 0.9969418
    #> 3:    1       NA Weibull erlotinib     2 0.9971186 0.9975396 0.9926917
    #> 4:    1       NA Weibull erlotinib     3 0.9940580 0.9946105 0.9867761
    #> 5:    1       NA Weibull erlotinib     4 0.9898799 0.9905707 0.9786638
    #> 6:    1       NA Weibull erlotinib     5 0.9845798 0.9853897 0.9697365
    #>          u95
    #> 1: 1.0000000
    #> 2: 0.9998248
    #> 3: 0.9992038
    #> 4: 0.9980502
    #> 5: 0.9962049
    #> 6: 0.9936172