Cargando…
Mediation Analysis with Survival Outcomes: Accelerated Failure Time vs. Proportional Hazards Models
Objective: Survival time is an important type of outcome variable in treatment research. Currently, limited guidance is available regarding performing mediation analyses with survival outcomes, which generally do not have normally distributed errors, and contain unobserved (censored) events. We pres...
Autores principales: | Gelfand, Lois A., MacKinnon, David P., DeRubeis, Robert J., Baraldi, Amanda N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4811962/ https://www.ncbi.nlm.nih.gov/pubmed/27065906 http://dx.doi.org/10.3389/fpsyg.2016.00423 |
Ejemplares similares
-
A Comparison between Accelerated Failure-time and Cox Proportional Hazard Models in Analyzing the Survival of Gastric Cancer Patients
por: ZARE, Ali, et al.
Publicado: (2015) -
Survival analysis of thalassemia major patients using Cox, Gompertz proportional hazard and Weibull accelerated failure time models
por: Bakhshi, Enayatollah, et al.
Publicado: (2017) -
Breast Cancer Survival Analysis: Applying the Generalized Gamma Distribution under Different Conditions of the Proportional Hazards and Accelerated Failure Time Assumptions
por: Abadi, Alireza, et al.
Publicado: (2012) -
Prognostic factors of survival time after hematopoietic stem cell transplant in acute lymphoblastic leukemia patients: Cox proportional hazard versus accelerated failure time models
por: Sayehmiri, Kourosh, et al.
Publicado: (2008) -
Generating survival times to simulate Cox proportional hazards models with time-varying covariates
por: Austin, Peter C
Publicado: (2012)