GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

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The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.

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GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

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2016 nî lūn-bûn

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GIST 2.0: A scalable multi-tra ...... f individual clinical studies.

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Anando Sen

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Andrew Goldstein

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Chunhua Weng

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Patrick B Ryan

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Shreya Chakrabarti

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Shuang Wang

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P2860

Clustering clinical trials with similar eligibility criteria features

Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database

The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.

Sick patients have more data: the non-random completeness of electronic health records.

Considerations for using research data to verify clinical data accuracy.

Generalizing from clinical trial data: a case study. The risk of suicidality among pediatric antidepressant users

A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Formal representation of eligibility criteria: a literature review

Enhanced Recovery After Surgery (ERAS) program attenuates stress and accelerates recovery in patients after radical resection for colorectal cancer: a prospective randomized controlled trial.

Generalizing evidence from randomized clinical trials to target populations: The ACTG 320 trial

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325-336

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10.1016/J.JBI.2016.09.003

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Andrew Goldstein

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27600407

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GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

about

P2860

P2860

GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

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