Hazards Regression for Cancer Studies
碩士 === 東海大學 === 統計學系 === 96 === The complication in analyzing tumor data is that the tumors detected in a screening program tend to be slowly progressive tumors, which is the so-called length-biased sampling that is inherent in screening studies. Under the assumption that all subjects have the same...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/51780656885845086625 |
| Summary: | 碩士 === 東海大學 === 統計學系 === 96 === The complication in analyzing tumor data is that the tumors detected
in a screening program tend to be slowly progressive tumors, which
is the so-called length-biased sampling that is inherent in
screening studies. Under the assumption that all subjects have the
same tumor growth function, Ghosh (2008) developed estimation
procedures for proportional hazards model. In this article, by
modeling growth function as a function of covariates, we demonstrate
that Ghosh (2008)'s approach can be extended to the case when each
subject has a specific growth function. A simulation study is
conducted to demonstrate the potential usefulness of the proposed
estimators for the regression parameters in the proportional and
additive hazards model.
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