Cargando…
Additive and multiplicative hazards modeling for recurrent event data analysis
BACKGROUND: Sequentially ordered multivariate failure time or recurrent event duration data are commonly observed in biomedical longitudinal studies. In general, standard hazard regression methods cannot be applied because of correlation between recurrent failure times within a subject and induced d...
Autores principales: | Lim, Hyun J, Zhang, Xu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3141800/ https://www.ncbi.nlm.nih.gov/pubmed/21708022 http://dx.doi.org/10.1186/1471-2288-11-101 |
Ejemplares similares
-
Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
por: Kim, Jinheum, et al.
Publicado: (2019) -
Simulating recurrent event data with hazard functions defined on a total time scale
por: Jahn-Eimermacher, Antje, et al.
Publicado: (2015) -
A strategy for optimal fitting of multiplicative and additive hazards regression models
por: Lefebvre, François, et al.
Publicado: (2021) -
Competing risk models to estimate the excess mortality and the first recurrent-event hazards
por: Belot, Aurélien, et al.
Publicado: (2011) -
High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data
por: Cui, Yidan, et al.
Publicado: (2021)