# Treatments

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

Dataset of treatments for EGFR positive NSCLC.

    treatments

## Format

A data.table object with one row for each available treatment and with columns:

tx_name

  Name of treatment.

tx_abb

  Abbreviation for the treatment.

route

  Route of administration.

approval_yr

  Year that treatment was approved in the US by the Federal Drug Administration (FDA)

yrs_since_approval

  Years (from the last update of the model) since the treatment was approved.

## Examples

    print(treatments)#>                                tx_name       tx_abb route approval_yr
    #>  1:                          erlotinib          erl  oral        2004
    #>  2:                          gefitinib          gef  oral        2003
    #>  3:                           afatinib          afa  oral        2013
    #>  4:                        dacomitinib          dac  oral        2018
    #>  5:                        osimertinib          osi  oral        2015
    #>  6:                               PBDC         pbdc    IV        2000
    #>  7:                        bevacizumab          bev    IV        2004
    #>  8:                          nivolumab          niv    IV        2015
    #>  9:                      pembrolizumab          pem    IV        2014
    #> 10:                       atezolizumab          ate    IV        2016
    #> 11:                 PBDC + bevacizumab     pbdc_bev    IV        2004
    #> 12:                   PBDC + nivolumab     pbdc_niv    IV        2015
    #> 13:               PBDC + pembrolizumab     pbdc_pem    IV        2014
    #> 14:                PBDC + atezolizumab     pbdc_ate    IV        2016
    #> 15:     PBDC + bevacizumab + nivolumab pbdc_bev_niv    IV        2015
    #> 16: PBDC + bevacizumab + pembrolizumab pbdc_bev_pem    IV        2014
    #> 17:  PBDC + bevacizumab + atezolizumab pbdc_bev_ate    IV        2016
    #>     yrs_since_approval
    #>  1:                 15
    #>  2:                 16
    #>  3:                  6
    #>  4:                  1
    #>  5:                  4
    #>  6:                 19
    #>  7:                 15
    #>  8:                  4
    #>  9:                  5
    #> 10:                  3
    #> 11:                 15
    #> 12:                  4
    #> 13:                  5
    #> 14:                  3
    #> 15:                  4
    #> 16:                  5
    #> 17:                  3