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Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group
Explicitly modeling underlying relationships between a survival endpoint and processes that generate longitudinal measured or reported outcomes potentially could improve the efficiency of clinical trials and provide greater insight into the various dimensions of the clinical effect of interventions...
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| Veröffentlicht in: | Stat Med |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4677775/ https://ncbi.nlm.nih.gov/pubmed/24634327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6141 |
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