碩士 / 靜宜大學 / 應用數學研究所 / 96 / Survival analysis is the most familiar analysis in Biomedical study, and it is used for analyzing incomplete data and the interesting events primarily. Therefore, if we delete some of them, it will not only waste a lot of information, but also affect the statistical conclusion. Moreover, how to apply it is a difficult problem. Since Cox’s proportional hazards model have some drawbacks, we propose Clayton’s model with proportional odds model to fit the event time. And we build the cure proportion by the logistic regression model.
In this paper, we use the Clayton’s model to analyze the correlation of the survival data, and estimate the interesting parameter by Lu and Ying ( 2004 ). Then we analyze it by using the R and simulation. According the to result, we can explore the efficiency of the method.
| Identifer | oai:union.ndltd.org:TW/096PU005507010 |
| Date | January 1900 |
| Creators | Guang-Ling Chang, 張光輘 |
| Contributors | Chyong-Mei Chen, 陳瓊梅 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 53 |
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