References
- Oppe M, Al M, Rutten-van Mölken M. Comparing methods of data synthesis: re-estimating parameters of an existing probabilistic cost–effectiveness model. Pharmacoeconomics29(3), 239–250 (2011).
- Lambert PC, Sutton AJ, Burton PR, Abrams KR, Jones D. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Stat. Med.24, 240–2428 (2005).
- Consonni G, Veronese P. A Bayesian method for combining results from several binomial experiments. J. Am. Stat. Assoc.90(431), 935–944 (1995).
- Stinnett AA, Mullahy, J. Net health benefits: a new framework for the analysis of uncertainty in cost–effectiveness analysis. Med. Decis. Making18, S68–S80 (1998).
- Moreno E, Girón FJ, Vázquez-Polo FJ, Negrín MA. A Bayesian net benefit approach to cost–effectiveness analysis in health technology assessment. Int. J. Econ. Business16, 323–345 (2009).
- Negrín MA, Vázquez-Polo FJ, Girón FJ, Moreno E. Complementing the net benefit approach: a new framework for Bayesian cost–effectiveness analysis. Int. J. Technol. Assess. Health Care25, 537–545 (2009).
- Moreno E, Girón FJ, Vázquez-Polo FJ, Negrín MA. Optimal healthcare decisions: Comparing treatments on a cost–effectiveness basis. Eur. J. Operational Res.204, 180–187 (2010).
- Moreno E, Girón FJ, Vázquez-Polo FJ, Negrín MA. Complementing information from incremental net benefit: a Bayesian perspective. Health Serv. Outcomes Res. Met.10, 86–99 (2010).
- Moreno E, Girón FJ, Vázquez-Polo FJ, Negrín MA. Optimal healthcare decisions: the importance of the covariates in cost–effectiveness analysis. Eur. J. Operational Res. (In press) (2011).