摘要(英) |
Reviewing researches in last decades on medical cost-effectiveness analysis (CEA), we analyze traditional measurements, e.g. cost-effectiveness plane, incremental cost-effectiveness ratio(ICER), and incremental net health benefit(INHB). These measurements are difficult to interpret and to apply for comparing multiple diagnostic methods. Therefore, we suggest the ratio of cost-effectiveness(RCE) as a new criteria. Which is the ratio of the cost of taking a certain medical therapy for a patient and the patients’ survival time. In practical cases, the distributions of the correlated cost and survival time are generally right-skewed. Therefore, we employ appropriate copula to construct the joint generalized gamma distribution. Under the joint distribution, we find the maximum likelihood method estimate and hence the confidence interval for the RCE. The results of a simulation investigation of the coverage probability, interval length, lower and upper error rate of confidence interval for different censoring probabilities and degrees of correlation in several possible copulas functions are reported. Finally, the proposed method is illustrated by using an example.
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