Caricamento...
Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective
Longitudinal zero-inflated count data are encountered frequently in substance-use research when assessing the effects of covariates and risk factors on outcomes. Often, both the time to a terminal event such as death or dropout and repeated measure count responses are collected for each subject. In...
Salvato in:
| Pubblicato in: | Stat Methods Med Res |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
|
| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5269555/ https://ncbi.nlm.nih.gov/pubmed/27460540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280216659312 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|