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Joint modelling of repeated measurements and time-to-event outcomes: flexible model specification and exact likelihood inference
Random effects or shared parameter models are commonly advocated for the analysis of combined repeated measurement and event history data, including dropout from longitudinal trials. Their use in practical applications has generally been limited by computational cost and complexity, meaning that onl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons Ltd
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384944/ https://www.ncbi.nlm.nih.gov/pubmed/25866468 http://dx.doi.org/10.1111/rssb.12060 |