DocumentCode
3594277
Title
Monte Carlo simulation of cost-effectiveness ratios
Author
Filho, Jose Alberto Ferreira ; Calil, Saide Jorge
Author_Institution
Dept. de Electron., Escola Fed. de Engenharia de Itajuba, Brazil
Volume
1
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
595
Abstract
The Monte Carlo simulation is a powerful method for calculation of cost-effectiveness ratios and the uncertainties involved in this analysis. With this methodology, it is possible to work, not only with the mean value of the cost-effectiveness ratio, but also with its variance, probability distribution function, skewness and cumulative frequency distribution, among others. When there is an overlapping of the effective distribution it is possible to show that the cost-effectiveness ratios has neither a finite mean nor a finite variance
Keywords
Monte Carlo methods; medicine; probability; Monte Carlo simulation; cost-effectiveness ratios; cumulative frequency distribution; finite mean; finite variance; probability distribution function; skewness; variance; Cost function; Equations; Frequency; Power generation economics; Probability distribution; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.900814
Filename
900814
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