Dependence Model Selection for Semi-competing Risks Data.

Dependence Model Selection for Semi-competing Risks Data.

碩士 === 國立中正大學 === 數學系統計科學研究所 === 106 === We consider model selection problem of the dependency between the terminal event and the non-terminal event under semi-competing risks data. We construct the likelihood function and use AIC formula to determine the fittable model. From simulation studies, it...

Full description

Bibliographic Details
Main Authors: TSAI, CHENG-FANG, 蔡承芳
Other Authors: HSIEH, JIN-JIAN
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/7py9cd
id ndltd-TW-106CCU00477004
record_format oai_dc
spelling ndltd-TW-106CCU004770042019-05-16T00:22:59Z http://ndltd.ncl.edu.tw/handle/7py9cd Dependence Model Selection for Semi-competing Risks Data. TSAI, CHENG-FANG 蔡承芳 碩士 國立中正大學 數學系統計科學研究所 106 We consider model selection problem of the dependency between the terminal event and the non-terminal event under semi-competing risks data. We construct the likelihood function and use AIC formula to determine the fittable model. From simulation studies, it shows the performance of the proposed approach is well. Finally, we apply our method to a bone marrow transplant data set. HSIEH, JIN-JIAN 謝進見 2018 學位論文 ; thesis 26 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立中正大學 === 數學系統計科學研究所 === 106 === We consider model selection problem of the dependency between the terminal event and the non-terminal event under semi-competing risks data. We construct the likelihood function and use AIC formula to determine the fittable model. From simulation studies, it shows the performance of the proposed approach is well. Finally, we apply our method to a bone marrow transplant data set.
author2 HSIEH, JIN-JIAN
author_facet HSIEH, JIN-JIAN
TSAI, CHENG-FANG
蔡承芳
author TSAI, CHENG-FANG
蔡承芳
spellingShingle TSAI, CHENG-FANG
蔡承芳
Dependence Model Selection for Semi-competing Risks Data.
author_sort TSAI, CHENG-FANG
title Dependence Model Selection for Semi-competing Risks Data.
title_short Dependence Model Selection for Semi-competing Risks Data.
title_full Dependence Model Selection for Semi-competing Risks Data.
title_fullStr Dependence Model Selection for Semi-competing Risks Data.
title_full_unstemmed Dependence Model Selection for Semi-competing Risks Data.
title_sort dependence model selection for semi-competing risks data.
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/7py9cd
work_keys_str_mv AT tsaichengfang dependencemodelselectionforsemicompetingrisksdata
AT càichéngfāng dependencemodelselectionforsemicompetingrisksdata
_version_ 1719165475563241472

Similar Items