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Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application
Background: Joint modeling of longitudinal and time‐to‐event data is often advantageous over separate longitudinal or time‐to‐event analyses as it can account for study dropout, error in longitudinally measured covariates, and correlation between longitudinal and time‐to‐event outcomes. The current...
Tallennettuna:
| Julkaisussa: | Stat Med |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
John Wiley and Sons Inc.
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6492085/ https://ncbi.nlm.nih.gov/pubmed/30209815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7961 |
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