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 | ||
| 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.orcid | Luo, S|0000-0003-4214-5809 | |
| 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 |