A Correlated Random Effects Model for Non-homogeneous Markov Processes with Nonignorable Missingness
Life history data arising in clusters with prespecified assessment time points for patients often feature incomplete data since patients may choose to visit the clinic based on their needs. Markov process models provide a useful tool describing disease progression for life history data. The literatu...
| Publié dans: | Journal of multivariate analysis. - 1998. - 117(2013) vom: 20. Mai, Seite 1-13 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2013
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| Accès à la collection: | Journal of multivariate analysis |
| Sujets: | Journal Article Cluster Markov non-homogeneous missing not at random random effects transition intensity |