compute_IB: Compute Incremental Benefit
In BCEA: Bayesian Cost Effectiveness Analysis
compute_IB R Documentation
Compute Incremental Benefit
Description
Sample of incremental net monetary benefit for each
willingness-to-pay threshold, k, and comparator.
Usage
compute_IB(df_ce, k)
Arguments
df_ce
Dataframe of cost and effectiveness deltas
k
Vector of willingness to pay values
Details
Defined as:
IB = u(e,c; 1) - u(e,c; 0).
If the net benefit function is used as utility function,
the definition can be re-written as
IB = k\cdot\Delta_e - \Delta_c.
Value
Array with dimensions (k x sim x ints)
See Also
compute_EIB()
BCEA documentation built on June 22, 2024, 11:08 a.m.
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| compute_IB | R Documentation |
Compute Incremental Benefit
Description
Sample of incremental net monetary benefit for each
willingness-to-pay threshold, k, and comparator.
Usage
compute_IB(df_ce, k)
Arguments
df_ce |
Dataframe of cost and effectiveness deltas |
k |
Vector of willingness to pay values |
Details
Defined as:
IB = u(e,c; 1) - u(e,c; 0).
If the net benefit function is used as utility function, the definition can be re-written as
IB = k\cdot\Delta_e - \Delta_c.
Value
Array with dimensions (k x sim x ints)
See Also
compute_EIB()
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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