APPLYING BETA-TYPE SIZE DISTRIBUTIONS TO HEALTHCARE COST REGRESSIONS
APPLYING BETA-TYPE SIZE DISTRIBUTIONS TO HEALTHCARE COST REGRESSIONS
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DOI：
10.1002/jae.2334
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发表时间：
2014-06-01
影响因子：
2.1
通讯作者：
Rice, Nigel
中科院分区：
文献类型：
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作者：
Jones, Andrew M.;Lomas, James;Rice, Nigel
本文通过将第二类（GB2）分布的广义beta应用于英国医院住院成本数据，扩展了对医疗成本数据建模的文献。一种准实验设计，在数据的一个子种群上估计模型并评估另一个子种群的性能，用于将该分布与其嵌套和极限情况进行比较。虽然对于这些数据，第二类（B2）分布的beta和广义γ (GG)分布优于GB2，但我们的结果表明，GB2可以用作在医疗成本数据的竞争参数分布中进行选择的工具。版权所有：John Wiley & Sons， Ltd。
This paper extends the literature on modelling healthcare cost data by applying the generalised beta of the second kind (GB2) distribution to English hospital inpatient cost data. A quasi-experimental design, estimating models on a sub-population of the data and evaluating performance on another sub-population, is used to compare this distribution with its nested and limiting cases. While for these data the beta of the second kind (B2) distribution and generalised gamma (GG) distribution outperform the GB2, our results illustrate that the GB2 can be used as a device for choosing among competing parametric distributions for healthcare cost data. Copyright (c) 2013 John Wiley & Sons, Ltd.