Article

<i>SASC</i>: A Simple Approach to Synthetic Cohorts for Generating Longitudinal Observational Patient Cohorts from COVID-19 Clinical Data

2021-10-20

Abstract excerpt

One of the impacts of the COVID-19 pandemic has been a push for researchers to better exploit synthetic data and accelerate the design, analysis, and modeling of clinical trials. The unprecedented clinical efforts caused by COVID-19 will certainly boost future robust and innovative approaches of statistical sciences applied to clinical fields. Here, we report the development of SASC, a simple but efficient approac...

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Literature Corpus work: ba274e89-edd0-5513-99e0-c8df0185ece3
DOI: 10.2139/ssrn.3942844

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