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Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
BACKGROUND: Joint models for longitudinal and time-to-event data are commonly used to simultaneously analyse correlated data in single study cases. Synthesis of evidence from multiple studies using meta-analysis is a natural next step but its feasibility depends heavily on the standard of reporting...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139124/ https://www.ncbi.nlm.nih.gov/pubmed/27919221 http://dx.doi.org/10.1186/s12874-016-0272-6 |