Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data

Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data

碩士 === 國立交通大學 === 統計學研究所 === 94 === In this thesis, we consider nonparametric estimation of the cumulative incidence function based on truncated semi-competing risk data. Peng & Fine (2006) apply the idea of decomposition to construct an estimator. Under a similar framework, we propose an altern...

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Main Author: 楊舒雯
Other Authors: 王維菁
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/46217903829110927101
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spelling ndltd-TW-094NCTU53370202016-05-27T04:18:35Z http://ndltd.ncl.edu.tw/handle/46217903829110927101 Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data 針對半競爭風險與截切資料估計累積發生函數 楊舒雯 碩士 國立交通大學 統計學研究所 94 In this thesis, we consider nonparametric estimation of the cumulative incidence function based on truncated semi-competing risk data. Peng & Fine (2006) apply the idea of decomposition to construct an estimator. Under a similar framework, we propose an alternative weighting approach. The two estimators are compared via simulations. The results show that our proposed estimator performs better which is possibly due to the fact that we make slightly stronger assumptions. We also investigate the difference between the information given by competing risks data and that given by semi-competing risks data. 王維菁 2006 學位論文 ; thesis 56 zh-TW
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language zh-TW
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description 碩士 === 國立交通大學 === 統計學研究所 === 94 === In this thesis, we consider nonparametric estimation of the cumulative incidence function based on truncated semi-competing risk data. Peng & Fine (2006) apply the idea of decomposition to construct an estimator. Under a similar framework, we propose an alternative weighting approach. The two estimators are compared via simulations. The results show that our proposed estimator performs better which is possibly due to the fact that we make slightly stronger assumptions. We also investigate the difference between the information given by competing risks data and that given by semi-competing risks data.
author2 王維菁
author_facet 王維菁
楊舒雯
author 楊舒雯
spellingShingle 楊舒雯
Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
author_sort 楊舒雯
title Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
title_short Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
title_full Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
title_fullStr Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
title_full_unstemmed Nonparametric Estimation of Cumulative Incidence Function Based on Truncated Semi-Competing Risk Data
title_sort nonparametric estimation of cumulative incidence function based on truncated semi-competing risk data
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/46217903829110927101
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