Joint modeling of multistate survival processes with informative examination scheme: application to progressions in diabetes
Our joint model offers a framework for analyzing multistate survival processes while accounting for the dependence between disease progression and examination frequency. Unlike traditional MSMs that estimate only transition intensities, our model captures variations in healthcare visit frequencies across different disease states, providing a more comprehensive understanding of disease dynamics and healthcare access patterns.
Authors
- Guy Brock (ORCID: https://orcid.org/0000-0001-5317-079X)
- Neena Thomas
- Joshua J. Joseph (ORCID: https://orcid.org/0000-0001-9169-8261)
- Yuxi Zhu (ORCID: https://orcid.org/0000-0003-4562-6456)
- Lang Li (ORCID: https://orcid.org/0000-0002-5334-8719)
Institutions
- The Ohio State University (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1186/s12874-025-02543-z
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00