This data set contains the results of a Bayesian analysis modeling the clinical outputs and costs associated with an influenza vaccination program.
A list containing variables for the influenza vaccination model:
A matrix of simulations of the overall costs for the two treatments.
Coordinates for plotting cost distributions.
A matrix of simulations of the costs for GP visits.
A matrix of simulations of the costs for hospitalisations.
A matrix of simulations of the costs for over-the-counter medications.
A matrix of simulations of the costs for time off work.
A matrix of simulations of the costs for time to get vaccinated.
A matrix of simulations of the costs for travel to get vaccinated.
A matrix of simulations of the overall costs for first-line treatment.
A matrix of simulations of the overall costs for second-line treatment.
A matrix of simulations of the costs for vaccination.
A matrix of simulations of the clinical benefits.
Coordinates for plotting effectiveness distributions.
The number of subjects in the reference population.
The number of clinical outcomes analysed.
The number of health-care resources under study.
A vector of QALYs associated with adverse events.
A vector of QALYs associated with death.
A vector of QALYs associated with hospitalisation.
A vector of QALYs associated with influenza infection.
A vector of QALYs associated with pneumonia.
A character vector of labels for the two treatments.
A matrix of simulations for the parameters in the original model.
Baio, G., & Dawid, A. P. (2011). "Probabilistic Sensitivity Analysis in Health Economics". Statistical Methods in Medical Research. doi:10.1177/0962280211419832.