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Performance of joint modelling of time-to-event data with time-dependent predictors: an assessment based on transition to psychosis data
Joint modelling has emerged to be a potential tool to analyse data with a time-to-event outcome and longitudinal measurements collected over a series of time points. Joint modelling involves the simultaneous modelling of the two components, namely the time-to-event component and the longitudinal com...
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| Publicat a: | PeerJ |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
PeerJ Inc.
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5075698/ https://ncbi.nlm.nih.gov/pubmed/27781169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.2582 |
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