Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42234
Title: Cost-effectiveness analysis for heterogeneous samples
Authors: Moreno, E.
Girón, F. J.
Vázquez-Polo, F. J. 
UNESCO Clasification: 1206 Análisis numérico
1209 Estadística
5302 Econometría
Keywords: Clustering
Cost-effectiveness
Decision processes
Heterogeneous samples
Meta-analysis
Issue Date: 2016
Journal: European Journal of Operational Research 
Abstract: The sampling information for the cost-effectiveness analysis typically comes from different health care centers, and, as far as we know, it is taken for granted that the distribution of the cost and the effectiveness does not vary across centers. We argue that this assumption is unrealistic, and prove that to not consider the sample heterogeneity will typically give misleading results. Consequently, a cost-effectiveness procedure for heterogeneous samples is here proposed. The proposed cost-effectiveness procedure consists of a Bayesian clustering to measure the sample heterogeneity, and a meta-analysis to account for the specific clustering structure of the data. Examples with real data illustrate this methodology for normal and lognormal models, and the results are compared with those we would obtain if homogeneity of the samples is assumed.
URI: http://hdl.handle.net/10553/42234
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2016.03.032
Source: European Journal of Operational Research[ISSN 0377-2217],v. 254, p. 127-137
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