Estimation of Conditional Survival Probabilities Using Marker Time as Predictors

碩士 === 臺灣大學 === 流行病學研究所 === 98 === In the progression of a multistate disease process, times to a certain markers before death usually play important roles in predicting the survival of the disease based on the three-state data subject to censoring. In this paper, we consider marker times as prognos...

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Main Authors: Wen-Chun Peng, 彭文君
Other Authors: Shu-Hui Chang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/57761241903959544001
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spelling ndltd-TW-098NTU055440122015-10-13T18:49:39Z http://ndltd.ncl.edu.tw/handle/57761241903959544001 Estimation of Conditional Survival Probabilities Using Marker Time as Predictors 以標誌時間為預測因子的條件存活機率估計 Wen-Chun Peng 彭文君 碩士 臺灣大學 流行病學研究所 98 In the progression of a multistate disease process, times to a certain markers before death usually play important roles in predicting the survival of the disease based on the three-state data subject to censoring. In this paper, we consider marker times as prognostic factors to predict the subsequent survival. Cox models are the most popular regression models for survival data in order to investigate the relationship between prognostic faxtors and hazard function for death time. Therefore, Cox’s models are used by incorporating various functions of the marker times as covariates. The Cox’s model and the estimation of the corresponding conditional survival probabilities given marker time are provided. A real example is presented for illustration. Shu-Hui Chang 張淑惠 2010 學位論文 ; thesis 30 zh-TW
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description 碩士 === 臺灣大學 === 流行病學研究所 === 98 === In the progression of a multistate disease process, times to a certain markers before death usually play important roles in predicting the survival of the disease based on the three-state data subject to censoring. In this paper, we consider marker times as prognostic factors to predict the subsequent survival. Cox models are the most popular regression models for survival data in order to investigate the relationship between prognostic faxtors and hazard function for death time. Therefore, Cox’s models are used by incorporating various functions of the marker times as covariates. The Cox’s model and the estimation of the corresponding conditional survival probabilities given marker time are provided. A real example is presented for illustration.
author2 Shu-Hui Chang
author_facet Shu-Hui Chang
Wen-Chun Peng
彭文君
author Wen-Chun Peng
彭文君
spellingShingle Wen-Chun Peng
彭文君
Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
author_sort Wen-Chun Peng
title Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
title_short Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
title_full Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
title_fullStr Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
title_full_unstemmed Estimation of Conditional Survival Probabilities Using Marker Time as Predictors
title_sort estimation of conditional survival probabilities using marker time as predictors
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/57761241903959544001
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