Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis
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DOI: 10.1016/j.ejor.2011.10.030
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Cited by:
- Chen, Ting-Yu & Chang, Chien-Hung & Rachel Lu, Jui-fen, 2013. "The extended QUALIFLEX method for multiple criteria decision analysis based on interval type-2 fuzzy sets and applications to medical decision making," European Journal of Operational Research, Elsevier, vol. 226(3), pages 615-625.
- Theodoros Mantopoulos & Paul M. Mitchell & Nicky J. Welton & Richard McManus & Lazaros Andronis, 2016. "Choice of statistical model for cost-effectiveness analysis and covariate adjustment: empirical application of prominent models and assessment of their results," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 927-938, November.
- Moreno, E. & Girón, F.J. & Martínez, M.L. & Vázquez-Polo, F.J. & Negrín, M.A., 2013. "Optimal treatments in cost-effectiveness analysis in the presence of covariates: Improving patient subgroup definition," European Journal of Operational Research, Elsevier, vol. 226(1), pages 173-182.
- Aquila, Giancarlo & de Oliveira Pamplona, Edson & Ferreira Filho, José Alberto & da Silva, Antônio Sergio & de Azevedo Mataveli, João Victor & Correa, João Ederson & de Maria, Mateus Sanches & Garcia,, 2019. "Quantitative regulatory impact analysis: Experience of regulatory agencies in Brazil," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
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Keywords
Cost–effectiveness analysis; Covariates; Net benefit; Subgroups; Bayesian variable selection;All these keywords.
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