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目的旨在探讨当进行药物经济学评价时,如何在敏感度分析中选择合适的参数分布。方法针对各种类型参数,根据其限定条件,结合分布特征,选择合适的参数分布假设。结果概率参数只能在0到1之间取值,互斥时间概率的总和应等于1;相对风险参数的可信区间是通过对数转换所得;成本参数取值范围为0至无穷大;效用参数通常取值0至1(特殊情况低于0)。结论概率参数可假设为Beta分布,相对风险参数可假设为对数正态分布,成本参数可假设为伽马分布或对数正态分布,效用参数可假设为Beta分布、对数正态分布或伽马分布。
The purpose is to explore how to choose the appropriate parameter distribution in the sensitivity analysis when conducting a pharmacoeconomic evaluation. Methods According to the various types of parameters, according to their limited conditions, combined with the distribution characteristics, choose the appropriate hypothesis of parameter distribution. As a result, the probability parameter can only be set between 0 and 1, and the sum of the mutually exclusive time probabilities should equal 1; the confidence interval of the relative risk parameter is obtained by logarithmic conversion; the cost parameter ranges from 0 to infinity; Usually 0 to 1 (special cases below 0). Conclusions Probability parameters can be assumed to be beta distributions, relative risk parameters can be assumed to be log-normal distributions, cost parameters can be assumed to be gamma distributions or log-normal distributions, and utility parameters can be assumed to be Beta distributions, log-normal distributions or Gamma distribution.