2023
DOI: 10.1101/2023.12.22.23300461
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Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study Researcher Platform

James V. Lacey,
Emma S. Spielfogel,
Jennifer L. Benbow
et al.

Abstract: ObjectiveCohort selection is ubiquitous and essential, but manual and ad hoc approaches are time-consuming, labor-intense, and difficult to scale. We sought to automate the task of cohort selection by building self-service tools that enable researchers to independently generate datasets for population sciences research.Materials and MethodsThe California Teachers Study (CTS) is a prospective observational study of 133,477 women who have been followed continuously since 1995. The CTS includes extensive survey-b… Show more

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