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...

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Detalles Bibliográficos
Autores principales: Jiang, Yu, Guarino, Peter, Ma, Shuangge, Simon, Steve, Mayo, Matthew S., Raghavan, Rama, Gajewski, Byron J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957321/
https://www.ncbi.nlm.nih.gov/pubmed/27449769
http://dx.doi.org/10.1186/s13063-016-1457-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957321/
https://www.ncbi.nlm.nih.gov/pubmed/27449769
http://dx.doi.org/10.1186/s13063-016-1457-3

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