CEriskav {BCEA} | R Documentation |

Extends the standard cost-effectiveness analysis to modify the utility function so that risk aversion of the decision maker is explicitly accounted for

CEriskav(he, r = NULL, comparison = 1) ## Default S3 method: CEriskav(he, r = NULL, comparison = 1)

`he` |
A |

`r` |
A vector of values for the risk aversion parameter. If |

`comparison` |
In case of more than 2 interventions being analysed, selects which plot should be made. By default the first possible choice is selected as the comparator. |

An object of the class `CEriskav`

containing the following elements:

`Ur` |
An array containing the simulated values for all the ”known-distribution”
utilities for all interventions, all the values of the willingness to pay parameter and
for all the possible values of |

`Urstar` |
An array containing the simulated values for the maximum ”known-distribution” expected
utility for all the values of the willingness to pay parameter and for all the possible
values of |

`IBr` |
An array containing the simulated values for the distribution of the Incremental Benefit
for all the values of the willingness to pay and for all the possible values of |

`eibr` |
An array containing the Expected Incremental Benefit for each value of the willingness
to pay parameter and for all the possible values of |

`vir` |
An array containing all the simulations for the Value of Information for each value
of the willingness to pay parameter and for all the possible values of |

`evir` |
An array containing the Expected Value of Information for each value of the willingness
to pay parameter and for all the possible values of |

`R` |
The number of possible values for the parameter of risk aversion |

`r` |
The vector containing all the possible values for the parameter of risk aversion |

Gianluca Baio

Baio, G., Dawid, A. P. (2011). Probabilistic Sensitivity Analysis in Health Economics. Statistical Methods in Medical Research doi:10.1177/0962280211419832.

Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London

# See Baio G., Dawid A.P. (2011) for a detailed description of the # Bayesian model and economic problem # # Load the processed results of the MCMC simulation model data(Vaccine) # # Runs the health economic evaluation using BCEA m <- bcea(e=e,c=c, # defines the variables of # effectiveness and cost ref=2, # selects the 2nd row of (e,c) # as containing the reference intervention interventions=treats, # defines the labels to be associated # with each intervention Kmax=50000 # maximum value possible for the willingness # to pay threshold; implies that k is chosen # in a grid from the interval (0,Kmax) ) # # Define the vector of values for the risk aversion parameter, r, eg: r <- c(0.0000000001,0.005,0.020,0.035) # # Run the cost-effectiveness analysis accounting for risk aversion cr <- CEriskav(m, # uses the results of the economic evalaution # (a "bcea" object) r=r, # defines the vector of values for the risk # aversion parameter comparison=1 # if more than 2 interventions, selects the # pairwise comparison )

[Package *BCEA* version 2.3-1.1 Index]