ALERT: This system is being upgraded on Tuesday December 12. It will not be available
for use for several hours that day while the upgrade is in progress. Deposits to DukeSpace
will be disabled on Monday December 11, so no new items are to be added to the repository
while the upgrade is in progress. Everything should be back to normal by the end of
day, December 12.
Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: an application to Alzheimer’s disease
| dc.contributor.author | Li, K | |
| dc.contributor.author | Luo, S | |
| dc.date.accessioned | 2017-09-07T21:59:55Z | |
| dc.date.available | 2017-09-07T21:59:55Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | https://hdl.handle.net/10161/15468 | |
| dc.relation.ispartof | Statistical Methods in Medical Research | |
| dc.title | Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: an application to Alzheimer’s disease | |
| dc.type | Journal article | |
| duke.contributor.id | Luo, S|0796693 | |
| pubs.organisational-group | Basic Science Departments | |
| pubs.organisational-group | Biostatistics & Bioinformatics | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Duke Clinical Research Institute | |
| pubs.organisational-group | Institutes and Centers | |
| pubs.organisational-group | School of Medicine | |
| pubs.volume | OnlineFirst | |
| duke.contributor.orcid | Luo, S|0000-0003-4214-5809 |
Files in this item
This item appears in the following Collection(s)
- Scholarly Articles
Articles