Joint inference of NLME and GLMM models with informative censoring
Non-linear mixed effects models (NLME) and generalized linear mixed effects models (GLMM) are commonly used to model longitudinal process. This thesis goes beyond the single process modelling and focuses on jointly modelling multiple longitudinal processes with different types of variables. In parti...
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| Language: | English |
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University of British Columbia
2014
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| Online Access: | http://hdl.handle.net/2429/51124 |