Article

Umpire 2.0: Simulating realistic, mixed-type, clinical data for machine learning

2021-03-05

Abstract excerpt

The Umpire 2.0 R-package offers a streamlined, user-friendly workflow to simulate complex, heterogeneous, mixed-type data with known subgroup identities, dichotomous outcomes, and time-to-event data, while providing ample opportunities for fine-tuning and flexibility. Here, we describe how we have expanded the core Umpire 1.0 R-package, developed to simulate gene expression data, to generate clinically realistic,...

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Literature Corpus work: 862137a3-d1bd-5123-a4c9-b271ddfe02a6
DOI: 10.12688/f1000research.25877.2

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