Two-way sensitivity analysis using linear regression metamodeling
This function displays a two-way sensitivity analysis (TWSA) graph by estimating a linear regression metamodel of a PSA for a given decision-analytic model
twsa(
sa_obj,
param1 = NULL,
param2 = NULL,
ranges = NULL,
nsamp = 100,
outcome = c("eff", "cost", "nhb", "nmb", "nhb_loss", "nmb_loss"),
wtp = NULL,
strategies = NULL,
poly.order = 2
)sa_obj |
sensitivity analysis object;
either a probabilistic sensitivity analysis ( |
param1 |
String with the name of the first parameter of interest |
param2 |
String with the name of the second parameter of interest |
ranges |
a named list of the form c("param" = c(0, 1), ...)
that gives the ranges for the parameter of interest. If NULL,
parameter values from the middle 95
from this range is determined by |
nsamp |
number of samples from ranges |
outcome |
either effectiveness ("eff"), cost ("cost"), net health benefit ("nhb"), net monetary benefit ("nmb"), or the opportunity loss in terms of NHB or NMB ("nhb_loss" and "nmb_loss", respectively). "nmb_loss_voi" and "nhb_loss_voi" are only used in internal function calls of metamodel within other VOI functions. |
wtp |
if outcome is NHB or NMB (or the associated loss), must provide the willingness-to-pay threshold |
strategies |
vector of strategies to consider. The default (NULL) is that all strategies are considered. |
poly.order |
order of polynomial for the linear regression metamodel. Default: 2 |
twsa A ggplot2 object with the TWSA graph of param1 and
param2 on the outcome of interest.
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