Optimal healthcare decisions: the importance of the covariates in cost-effectiveness analysis

DOI10.1016/j.ejor.2011.10.030zbMath1244.90109OpenAlexW2005546828MaRDI QIDQ439535

J. Herrera, H. S. Yoon

Publication date: 16 August 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.10.030

zbMATH Keywords

subgroupscovariatescostBayesian variable selectioneffectiveness analysisnet benefit

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10) General nonlinear regression (62J02) Management decision making, including multiple objectives (90B50) Case-oriented studies in operations research (90B90) Medical applications (general) (92C50) Statistical ranking and selection procedures (62F07)

Related Items

Cost-effectiveness analysis for heterogeneous samples

Cites Work

• Unnamed Item
• Modeling and calculating the effect of treatment at baseline from panel outcomes
• Uncertainty and value of information when allocating resources within and between healthcare programmes
• Consistency of objective Bayes factors as the model dimension grows
• Erratum: Comparison of Bayesian objective procedures for variable selection in linear regression
• Optimal healthcare decisions: comparing medical treatments on a cost-effectiveness basis
• Calibration and empirical Bayes variable selection
• The Intrinsic Bayes Factor for Model Selection and Prediction
• A characterization of the Behrens—Fisher distribution with applications to Bayesian inference
• Assessing Robustness of Intrinsic Tests of Independence in Two-Way Contingency Tables
• Bayesian methods for design and analysis of cost-effectiveness trials in the evaluation of health care technologies
• Objective Bayesian Variable Selection