Benchmarks for detecting ‘breakthroughs’ in clinical trials: empirical assessment of the probability of large treatment effects using kernel density estimation

OBJECTIVE: To understand how often ‘breakthroughs,’ that is, treatments that significantly improve health outcomes, can be developed. DESIGN: We applied weighted adaptive kernel density estimation to construct the probability density function for observed treatment effects from five publicly funded...

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Detalles Bibliográficos
Autores principales: Miladinovic, Branko, Kumar, Ambuj, Mhaskar, Rahul, Djulbegovic, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Research Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208055/
https://www.ncbi.nlm.nih.gov/pubmed/25335959
http://dx.doi.org/10.1136/bmjopen-2014-005249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208055/
https://www.ncbi.nlm.nih.gov/pubmed/25335959
http://dx.doi.org/10.1136/bmjopen-2014-005249

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