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Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application
BACKGROUND: Subject recruitment for medical research is challenging. Slow patient accrual leads to increased costs and delays in treatment advances. Researchers need reliable tools to manage and predict the accrual rate. The previously developed Bayesian method integrates researchers’ experience on...
Tallennettuna:
| Julkaisussa: | Trials |
|---|---|
| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4957321/ https://ncbi.nlm.nih.gov/pubmed/27449769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13063-016-1457-3 |
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