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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMJ Publishing Group
2014
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| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4208055/ https://ncbi.nlm.nih.gov/pubmed/25335959 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2014-005249 |
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