Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 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.
貢獻者 統計系
關鍵詞  General linear model ;  inverse probability weighted method ;  medical cost ;  longitudinaldata ;  proportional hazards model
日期 2016-04
上傳時間 13-Aug-2019 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
資料類型 article
DOI https://doi.org/10.1080/02664763.2016.1169255
dc.contributor 統計系
dc.creator (作者) Hwang, Y.T.
dc.creator (作者) 黃佳慧
dc.creator (作者) Huang, C.-H.
dc.creator (作者) Yeh, W.L.
dc.creator (作者) Shen, Y.D.
dc.date (日期) 2016-04
dc.date.accessioned 13-Aug-2019 09:18:21 (UTC+8)-
dc.date.available 13-Aug-2019 09:18:21 (UTC+8)-
dc.date.issued (上傳時間) 13-Aug-2019 09:18:21 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/125122-
dc.description.abstract (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.
dc.format.extent 1917071 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Applied Statistics, Vol.44, pp.288-307
dc.subject (關鍵詞)  General linear model ;  inverse probability weighted method ;  medical cost ;  longitudinaldata ;  proportional hazards model
dc.title (題名) The weighted general linear model for longitudinal medical cost data-an application in colorectal cancer
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/02664763.2016.1169255
dc.doi.uri (DOI) https://doi.org/10.1080/02664763.2016.1169255