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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

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