Comparison of seven models for the progression patterns of multiple chronic conditions in longitudinal studies
Mohammad Reza Baneshi, Gita Mishra, Annette Dobson · 2024
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Description
Baneshi, Mishra, and Dobson compare seven statistical models for tracking how clusters of chronic diseases grow into new ones over time. Standard survival methods freeze a person's disease pattern at the start and ignore death as a competing outcome. Both shortcuts can badly skew the numbers.
Using data from nearly 12,000 Australian women, the team followed heart and metabolic conditions toward dementia. Simply counting deaths properly cut the estimated dementia risk from 36 to 27 percent. Letting disease patterns evolve over time cut it to 11 percent. Hazard estimates shrank likewise under the fuller models. The authors urge multistate, time-aware methods for multimorbidity research.
Catalog record
| CREATOR | Mohammad Reza Baneshi, Gita Mishra, Annette Dobson |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |