Bayesian variable selection for high dimensional predictors and self-reported outcomes.
Background: The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnosis of silent events may also occur through the use of imperfect laboratory-base...
| Published in: | BMC Medical Informatics & Decision Making Vol. 20; no. 1 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Published: |
BioMed Central
9/7/2020
|
| Online Access: | View this record in EBSCOhost |