Crystal balls for PD care: How predictive models can help us see ahead
Care teams and patients want to know what happens next, and researchers have put together a lot of tools, such as predictive models, to help them predict the future. While these researchers are well-intentioned, the tools they develop are not always helpful. Most researchers know enough to perform various tests of their predictive models, such as statistical tests that answer the question: "Are the predictions based on this model better than a coin flip?" We urge researchers to add another test to their existing lists: "Does this model tell care teams anything they don't already know?"
Authors
- Keith McCullough (ORCID: https://orcid.org/0000-0003-1995-1888)
- Lisa Henn (ORCID: https://orcid.org/0000-0002-5075-8077)
- Dean Tsai
Institutions
- Southern Nevada Health District (US)
- Arbor Research Collaborative for Health (US)
- Nevada Division of Public and Behavioral Health (US)
Publication Details
- Journal
- Peritoneal Dialysis International
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1177/08968608251413925
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00