Utility estimates by health state and disutilities by adverse event.

params_utility

Format

A list containing the following elements:

  • state_utility Utility estimates by health state.

  • as_disutility Disutility by health state.

State utility

The state_utility element is a data table with the following columns:

state_name

Name of the health state.

mean

Mean utility.

se

Standard error of utility.

ref

BibTeX reference for estimate.

Adverse event disutilities

The as_disutility element is a data table with the following columns:

ae_name

Name of the adverse event.

ae_abb

Abbreviation for the adverse event.

mean

Mean disutility.

se

Standard error of disutility.

ref

BibTeX reference for estimate.

Examples

print(params_utility)
#> $state_utility #> state_name mean se ref #> 1: S1 0.7540 0.00000000 nafees2017health #> 2: P1/S2 0.6532 0.02223000 nafees2008health #> 3: P2 0.4734 0.03105848 nafees2008health #> #> $ae_disutility #> ae_name ae_abb mean se ref #> 1: Elevated alanine transaminase alt 0.000 0.000 <NA> #> 2: Elevated aspartate transaminase ast 0.000 0.000 <NA> #> 3: Diarrhea diarrhea 0.222 0.073 nafees2017health #> 4: Dry skin dry_skin 0.151 0.050 nafees2017health #> 5: Eye problems eye_problems 0.138 0.046 nafees2017health #> 6: Paronychia paronychia 0.151 0.050 nafees2017health #> 7: Pneumonitis pneumonitis 0.165 0.054 doyle2008health #> 8: Pruritus pruritus 0.151 0.050 nafees2017health #> 9: Rash rash 0.151 0.050 nafees2017health #> 10: Stomatitis stomatitis 0.151 0.050 nafees2017health #> notes #> 1: Assumption #> 2: Assumption #> 3: <NA> #> 4: Assumed equal to rash disutility; se assumed 1/3rd of mean #> 5: Assumed equal to hair loss; se assumed 1/3rd of mean #> 6: Assumed equal to rash disutility; se assumed 1/3rd of mean #> 7: Assumed equal to cough, dyspnea, and pain; se assumed 1/3rd of mean #> 8: Assumed equal to rash disutility; se assumed 1/3rd of mean #> 9: <NA> #> 10: Assumed equal to rash disutility; se assumed 1/3rd of mean #>