Vaccine {BCEA} | R Documentation |

This data set contains the results of the Bayesian analysis used to model the clinical output and the costs associated with an influenza vaccination.

data(Vaccine)

A data list including the variables needed for the influenza vaccination. The variables are as follows:

`c`

a matrix of simulations from the posterior distribution of the overall costs associated with the two treatments

`cost.GP`

a matrix of simulations from the posterior distribution of the costs for GP visits associated with the two treatments

`cost.hosp`

a matrix of simulations from the posterior distribution of the costs for hospitalisations associated with the two treatments

`cost.otc`

a matrix of simulations from the posterior distribution of the costs for over-the-counter medications associated with the two treatments

`cost.time.off`

a matrix of simulations from the posterior distribution of the costs for time off work associated with the two treatments

`cost.time.vac`

a matrix of simulations from the posterior distribution of the costs for time needed to get the vaccination associated with the two treatments

`cost.travel`

a matrix of simulations from the posterior distribution of the costs for travel to get vaccination associated with the two treatments

`cost.trt1`

a matrix of simulations from the posterior distribution of the overall costs for first line of treatment associated with the two interventions

`cost.trt2`

a matrix of simulations from the posterior distribution of the overall costs for second line of treatment associated with the two interventions

`cost.vac`

a matrix of simulations from the posterior distribution of the costs for vaccination

`c.pts`

a matrix of simulations from the posterior distribution of the clinical benefits associated with the two treatments

`e`

a matrix of simulations from the posterior distribution of the clinical benefits associated with the two treatments

`e.pts`

a matrix of simulations from the posterior distribution of the clinical benefits associated with the two treatments

`N`

the number of subjects in the reference population

`N.outcomes`

the number of clinical outcomes analysed

`N.resources`

the number of health-care resources under study

`QALYs.adv`

a vector from the posterior distribution of the QALYs associated with advert events

`QALYs.death`

a vector from the posterior distribution of the QALYs associated with death

`QALYs.hosp`

a vector from the posterior distribution of the QALYs associated with hospitalisation

`QALYs.inf`

a vector from the posterior distribution of the QALYs associated with influenza infection

`QALYs.pne`

a vector from the posterior distribution of the QALYs associated with penumonia

`treats`

a vector of labels associated with the two treatments

`vaccine`

a

`rjags`

object containing the simulations for the parameters used in the original model`vaccine_mat`

a matrix containing the simulations for the parameters used in the original model

Adapted from Turner D, Wailoo A, Cooper N, Sutton A, Abrams K, Nicholson K. The cost-effectiveness of influenza vaccination of healthy adults 50-64 years of age. Vaccine. 2006;24:1035-1043.

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

data(Vaccine) m=bcea(e,c,ref=1,interventions=treats)

[Package *BCEA* version 2.3-1.1 Index]