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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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Detalhes bibliográficos
Publicado no:J Biomed Inform
Main Authors: Sen, Anando, Chakrabarti, Shreya, Goldstein, Andrew, Wang, Shuang, Ryan, Patrick, Weng, Chunhua
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha: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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