Analysis of Additive Risk Model with High Dimensional Covariates Using Partial Least Squares
In this thesis, we consider the problem of constructing an additive risk model based on the right censored survival data to predict the survival times of the cancer patients, especially when the dimension of the covariates is much larger than the sample size. For microarray Gene Expression data, the...
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| Format: | Others |
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Digital Archive @ GSU
2006
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| Online Access: | http://digitalarchive.gsu.edu/math_theses/6 http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1005&context=math_theses |