Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies
Mixed effects models are widely used for modelling clustered data when there are large variations between clusters, since mixed effects models allow for cluster-specific inference. In some longitudinal studies such as HIV/AIDS studies, it is common that some time-varying covariates may be left or ri...
| Hoofdauteurs: | , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Hindawi Limited
2018-01-01
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| Reeks: | Journal of Probability and Statistics |
| Online toegang: | http://dx.doi.org/10.1155/2018/1581979 |