Missing covariate data in generalized linear mixed models with distribution-free random effects

We consider generalized linear mixed models in which random effects are free of parametric distributions and missing at random data are present in some covariates. To overcome the problem of missing data, we propose two novel methods relying on auxiliary variables: a penalized conditional likelihood...

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Bibliographic Details
Main Authors: Liu, Li, Xiang, Liming
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/105576
http://hdl.handle.net/10220/50235
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Institution: Nanyang Technological University
Language: English