Simultaneous inference for generalized linear mixed models with informative dropout and missing covariates
Generalized linear mixed effects models (GLMMs) are popular in many longitudinal studies. In these studies, however, missing data problems arise frequently, which makes statistical analyses more complicated. In this thesis, we propose an exact method and an approximate method for GLMMs with infor...
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| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/2429/15346 |