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GIST 2.0: A Scalable Multi-trait Metric for Quantifying Population Representativeness of Individual Clinical Studies
The design of randomized controlled clinical studies can greatly benefit from iterative assessments of population representativeness of eligibility criteria. We propose a multi-trait metric - GIST 2.0 that can compute the a priori generalizability based on the population representativeness of a clin...
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| Опубликовано в: : | J Biomed Inform |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5077682/ https://ncbi.nlm.nih.gov/pubmed/27600407 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.09.003 |
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