Automated self-service cohort selection for large-scale population sciences and observational research: The California teachers study researcher platform.

Automated self-service cohort selection for large-scale population sciences and observational research: The California teachers study researcher platform.

<h4>Objective</h4>Cohort 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...

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Bibliographic Details
Main Authors: James V Lacey, Emma S Spielfogel, Jennifer L Benbow, Kristen E Savage, Kai Lin, Cheryl A M Anderson, Jessica Clague-DeHart, Christine N Duffy, Maria Elena Martinez, Hannah Lui Park, Caroline A Thompson, Sophia S Wang, Sandeep Chandra
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0296611
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