Joint mean-covariance modelling and variable selection for longitudinal data analysis
Briefly saying, in this thesis, I endeavor to deliver both the parametric and non-parametric modelling and selection tools for longitudinal data analysis. The first part of my work, is to extend the GEEs with random effects into the joint modelling of longitudinal data. This is a parametric approach...
Main Author: | Huang, Chao |
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Other Authors: | Pan, Jianxin |
Published: |
University of Manchester
2011
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Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532189 |
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