graph_gain_n: Explain the estimated sample size calculated
In EBASS: Sample Size Calculation Method for Cost-Effectiveness Studies Based on Expected Value of Perfect Information
View source: R/fonctions_sujets.R
Description
Produces a plot to explain the estimated sample size calculated based on the EVPI gain after the inclusion of new participants and inclusion costs.
Use sample_size function first to estimate the sample size.
Usage
1
graph_gain_n(object_evpi_decrease, cost_indiv)
Arguments
object_evpi_decrease
: evpi_decrease object. See create_object_evpi_decrease
cost_indiv
: mean costs induced by the inclusion and follow-up of one participant in the study
EBASS documentation built on May 1, 2019, 6:54 p.m.
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View source: R/fonctions_sujets.R
Description
Produces a plot to explain the estimated sample size calculated based on the EVPI gain after the inclusion of new participants and inclusion costs. Use sample_size function first to estimate the sample size.
Usage
1 | graph_gain_n(object_evpi_decrease, cost_indiv)
|
Arguments
object_evpi_decrease |
: evpi_decrease object. See create_object_evpi_decrease |
cost_indiv |
: mean costs induced by the inclusion and follow-up of one participant in the study |
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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