calculate_icers_psa: Calculate incremental cost-effectiveness ratios from a 'psa'...
In DARTH-git/dampack: Decision-Analytic Modeling Package
Description
Usage
Arguments
Value
See Also
Description
The mean costs and QALYs for each strategy in a PSA are used
to conduct an incremental cost-effectiveness analysis. calculate_icers should be used
if costs and QALYs for each strategy need to be specified manually, whereas calculate_icers_psa
can be used if mean costs and mean QALYs from the PSA are assumed to represent a base case scenario for
calculation of ICERS.
Optionally, the uncertainty argument can be used to provide the 2.5th and 97.5th
quantiles for each strategy's cost and QALY outcomes based on the variation present in the PSA.
Because the dominated vs. non-dominated status and the ordering of strategies in the ICER table are
liable to change across different samples of the PSA, confidence intervals are not provided for the
incremental costs and QALYs along the cost-effectiveness acceptability frontier.
link{plot.psa} does not show the confidence intervals in the resulting plot
even if present in the ICER table.
Usage
1
calculate_icers_psa(psa, uncertainty = FALSE)
Arguments
psa
psa object from link{make_psa_object}
uncertainty
whether or not 95
in the resulting ICER table. Defaults to FALSE.
Value
A data frame and icers object of strategies and their associated
status, cost, effect, incremental cost, incremental effect, and ICER. If uncertainty is
set to TRUE, four additional columns are provided for the 2.5th and 97.5th quantiles for
each strategy's cost and effect.
See Also
DARTH-git/dampack documentation built on Aug. 8, 2021, 2:58 a.m.
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Description Usage Arguments Value See Also
Description
The mean costs and QALYs for each strategy in a PSA are used
to conduct an incremental cost-effectiveness analysis. calculate_icers should be used
if costs and QALYs for each strategy need to be specified manually, whereas calculate_icers_psa
can be used if mean costs and mean QALYs from the PSA are assumed to represent a base case scenario for
calculation of ICERS.
Optionally, the uncertainty argument can be used to provide the 2.5th and 97.5th
quantiles for each strategy's cost and QALY outcomes based on the variation present in the PSA.
Because the dominated vs. non-dominated status and the ordering of strategies in the ICER table are
liable to change across different samples of the PSA, confidence intervals are not provided for the
incremental costs and QALYs along the cost-effectiveness acceptability frontier.
link{plot.psa} does not show the confidence intervals in the resulting plot
even if present in the ICER table.
Usage
1 | calculate_icers_psa(psa, uncertainty = FALSE)
|
Arguments
psa |
|
uncertainty |
whether or not 95
in the resulting ICER table. Defaults to |
Value
A data frame and icers object of strategies and their associated
status, cost, effect, incremental cost, incremental effect, and ICER. If uncertainty is
set to TRUE, four additional columns are provided for the 2.5th and 97.5th quantiles for
each strategy's cost and effect.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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