Evidence-based approach for the generation of a multivariate logistic regression model that predicts instrument failure
A logistic regression model can predict instrument downtime nearly 70% of the time. This study acts as a proof of concept using a limited data set collected by the chemistry laboratory.
Authors
- Niti Vyas
- Stephan L Cleveland
- Juan U. Rojo (ORCID: https://orcid.org/0000-0002-3769-0047)
- Robert A. Bartsch (ORCID: https://orcid.org/0000-0001-8055-1512)
- Jose H. Salazar (ORCID: https://orcid.org/0000-0001-8898-3790)
Institutions
- The University of Texas Medical Branch at Galveston (US)
Publication Details
- Journal
- Laboratory Medicine
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1093/labmed/lmae092
- Citations
- 1
- Primary Topic
- Clinical Laboratory Practices and Quality Control
- Type
- article
- Field-Weighted Citation Impact
- 0.33