Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective
| dc.contributor.author | Zhu, H | |
| dc.contributor.author | DeSantis, SM | |
| dc.contributor.author | Luo, S | |
| dc.date.accessioned | 2017-09-07T22:17:51Z | |
| dc.date.available | 2017-09-07T22:17:51Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | ||
| dc.publisher | SAGE Publications | |
| dc.relation.ispartof | Statistical Methods in Medical Research | |
| dc.title | Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective | |
| 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 |
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