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
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900814
