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題名 Using weighted regression model for estimating cohort effect in age-period contingency table data
作者 Tzeng, I-Shiang;Ng, Chau Yee;Chen, Jau-Yuan;Chen, Li-Shya;Wu, Chin-Chieh
陳麗霞
Chen, Li-Shya
貢獻者 統計學系
關鍵詞 age-period-cohort; multiphase method; prediction; hepatocellular carcinoma
日期 2018-04
上傳時間 14-Sep-2018 16:09:44 (UTC+8)
摘要 Go to:
Background
Recently, the multiphase method was proposed to estimate cohort effects after removing the effects of age and period in age-period contingency table data. Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver and is strongly associated with cirrhosis, due to both alcohol and viral etiologies. In epidemiology, age-period-cohort (APC) model can be used to describe (or predict) the secular trend in HCC mortality.

Go to:
Results
The confidence interval (CI) of the weighted estimates was found to be relatively narrow (compared to unweighted estimates). Moreover, for males, the mortality trend reverses itself during 2006–2010 was found from an increasing trend into a slightly deceasing trend. For females, the increasing trend reverses (earlier than males) itself during 2001–2005.

Go to:
Conclusions
The weighted estimation of the regression model is recommended for the multiphase method in estimating the cohort effects in age-period contingency table data.

Go to:
Impact
The regression model can be modified through the weighted average estimate of the effects with narrower CI of each cohort.

Go to:
Methods
After isolating the residuals during the median polish phase, the final phase is to estimate the magnitude of the cohort effects using the regression model of these residuals on the cohort category with the weight equal to the occupied proportion according to the number of death of HCC in each cohort.
關聯 Oncotarget, 2018, Vol. 9, No. 28, pp: 19826-19835
PMID: 29731986
資料類型 article
DOI https://doi.org/10.18632/oncotarget.24868
dc.contributor 統計學系
dc.creator (作者) Tzeng, I-Shiang;Ng, Chau Yee;Chen, Jau-Yuan;Chen, Li-Shya;Wu, Chin-Chiehen_US
dc.creator (作者) 陳麗霞zh_TW
dc.creator (作者) Chen, Li-Shyaen_US
dc.date (日期) 2018-04
dc.date.accessioned 14-Sep-2018 16:09:44 (UTC+8)-
dc.date.available 14-Sep-2018 16:09:44 (UTC+8)-
dc.date.issued (上傳時間) 14-Sep-2018 16:09:44 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/120098-
dc.description.abstract (摘要) Go to:
Background
Recently, the multiphase method was proposed to estimate cohort effects after removing the effects of age and period in age-period contingency table data. Hepatocellular carcinoma (HCC) is the most common primary malignancy of the liver and is strongly associated with cirrhosis, due to both alcohol and viral etiologies. In epidemiology, age-period-cohort (APC) model can be used to describe (or predict) the secular trend in HCC mortality.

Go to:
Results
The confidence interval (CI) of the weighted estimates was found to be relatively narrow (compared to unweighted estimates). Moreover, for males, the mortality trend reverses itself during 2006–2010 was found from an increasing trend into a slightly deceasing trend. For females, the increasing trend reverses (earlier than males) itself during 2001–2005.

Go to:
Conclusions
The weighted estimation of the regression model is recommended for the multiphase method in estimating the cohort effects in age-period contingency table data.

Go to:
Impact
The regression model can be modified through the weighted average estimate of the effects with narrower CI of each cohort.

Go to:
Methods
After isolating the residuals during the median polish phase, the final phase is to estimate the magnitude of the cohort effects using the regression model of these residuals on the cohort category with the weight equal to the occupied proportion according to the number of death of HCC in each cohort.		en_US
dc.format.extent 1830469 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Oncotarget, 2018, Vol. 9, No. 28, pp: 19826-19835
dc.relation (關聯) PMID: 29731986
dc.subject (關鍵詞) age-period-cohort; multiphase method; prediction; hepatocellular carcinomaen_US
dc.title (題名) Using weighted regression model for estimating cohort effect in age-period contingency table dataen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.18632/oncotarget.24868
dc.doi.uri (DOI) https://doi.org/10.18632/oncotarget.24868