Cargando…
Survival Data Analysis with Time-Dependent Covariates Using Generalized Additive Models
We discuss a flexible method for modeling survival data using penalized smoothing splines when the values of covariates change for the duration of the study. The Cox proportional hazards model has been widely used for the analysis of treatment and prognostic effects with censored survival data. Howe...
Autores principales: | Tsujitani, Masaaki, Tanaka, Yusuke, Sakon, Masato |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3321736/ https://www.ncbi.nlm.nih.gov/pubmed/22545065 http://dx.doi.org/10.1155/2012/986176 |
Ejemplares similares
-
Analysis of Heart Transplant Survival Data Using Generalized Additive Models
por: Tsujitani, Masaaki, et al.
Publicado: (2013) -
Restricted mean survival time regression model with time‐dependent covariates
por: Zhang, Chengfeng, et al.
Publicado: (2022) -
Marginal models in analysis of correlated binary data with time dependent covariates
por: Wilson, Jeffrey R, et al.
Publicado: (2020) -
Competing risks models and time-dependent covariates
por: Barnett, Adrian, et al.
Publicado: (2008) -
Analysis of correlated data with feedback for time-dependent covariates in psychiatry research
por: Vazquez Arreola, Elsa, et al.
Publicado: (2020)