Abstract
Cost-effectiveness analysis is usually performed using specialised software such as TreeAge or spreadsheet calculators (e.g. Microsoft Excel). Part of the narrative that accompanies this choice as the de facto standard is that these tools are “transparent, easy to use and to share with clients and stakeholders”.
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Notes
- 1.
Processing the data as demonstrated in Sect. 2.3.2 will yield slightly different results than those presented in this section as the parameters were produced in two different simulations. The following analyses are based on the Vaccine dataset included in the BCEA package.
- 2.
This choice is due to the fact that the average threshold of cost-effectiveness commonly used by NICE (National Institute for Health and Care Excellence) varies between £20 000 and £30 000 per QALY gained.
- 3.
The default theme in the BCEA plots is an adaptation of theme_bw().
- 4.
The contour.bcea function is an S3 method for BCEA objects , thus it can be invoked by calling the function contour and giving a valid bcea object as input.
References
G. Baio, Bayesian Methods in Health Economics (Chapman Hall/CRC Press, Boca Raton, FL, 2012)
C. Williams, J. Lewsey, A. Briggs, D. Mackay (2016). doi:10.1177/0272989X16651869
G. Baio, A. Berardi, BCEA: A Package for Bayesian Cost-Effectiveness Analysis. http://cran.r-project.org/web/packages/BCEA/index.html
H. Wickham, ggplot2: Elegant Graphics for Data Analysis (Use R!) (Springer, Berlin, 2009)
General methods for the assessment of the relation of benefits to costs. Technical report, Institute for Quality and Efficiency in Health Care (IQWiG) (2009). https://www.iqwig.de/download/General_Methods_for_the_Assessment_of_the_Relation_of_Benefits_to_Costs.pdf
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Baio, G., Berardi, A., Heath, A. (2017). BCEA—A R Package for Bayesian Cost-Effectiveness Analysis. In: Bayesian Cost-Effectiveness Analysis with the R package BCEA. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-55718-2_3
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