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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| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/57761241903959544001 |
| Summary: | 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.
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