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    题名: The weighted general linear model for longitudinal medical cost data-an application in colorectal cancer
    作者: Hwang, Y.T.
    黃佳慧
    Huang, C.-H.
    Yeh, W.L.
    Shen, Y.D.
    贡献者: 統計系
    关键词:  General linear model; inverse probability weighted method; medical cost; longitudinaldata; proportional hazards model
    日期: 2016-04
    上传时间: 2019-08-13 09:18:21 (UTC+8)
    摘要: Identifying cost-effective decisions that can take into account of medical cost and health outcome is an important issue under very limited resources. Analyzing medical costs has been challenged owing to skewness of cost distributions, heterogeneity across samples and censoring. When censoring is due to administrative reasons, the total cost might be related to the survival time since longer survivals are likely to be censored and the corresponding total cost will be censored as well. This paper uses the general linear model for the longitudinal data to model the repeated medical cost data and the weighted estimating equation is used to find more accurate estimates for the parameter. Furthermore, the asymptotic properties for the proposed model are discussed. Simulations are used to evaluate the performance of estimators under various scenarios. Finally, the proposed model is implemented on the data extracted from National Health Insurance database for patients with the colorectal cancer.
    關聯: Journal of Applied Statistics, Vol.44, pp.288-307
    数据类型: article
    DOI 連結: https://doi.org/10.1080/02664763.2016.1169255
    DOI: 10.1080/02664763.2016.1169255
    显示于类别:[統計學系] 期刊論文

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