Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging

A key factor in designing randomized clinical trials is the sample size required to achieve a particular level of power to detect the benefit of a treatment. Sample size calculations depend upon the expected benefits of a treatment (effect size), the accuracy of measurement of the primary outcome, a...

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Detalles Bibliográficos
Autores principales: Lou, Carolyn, Habes, Mohamad, Illenberger, Nicholas A, Ezzati, Ali, Lipton, Richard B, Shaw, Pamela A, Stephens-Shields, Alisa J, Akbari, Hamed, Doshi, Jimit, Davatzikos, Christos, Shinohara, Russell T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600962/
https://www.ncbi.nlm.nih.gov/pubmed/34806001
http://dx.doi.org/10.1093/braincomms/fcab264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600962/
https://www.ncbi.nlm.nih.gov/pubmed/34806001
http://dx.doi.org/10.1093/braincomms/fcab264

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