Cargando…
Comparing of Cox model and parametric models in analysis of effective factors on event time of neuropathy in patients with type 2 diabetes
BACKGROUND: Cox proportional hazard model is the most common method for analyzing the effects of several variables on survival time. However, under certain circumstances, parametric models give more precise estimates to analyze survival data than Cox. The purpose of this study was to investigate the...
Autores principales: | Kargarian-Marvasti, Sadegh, Rimaz, Shahnaz, Abolghasemi, Jamileh, Heydari, Iraj |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680655/ https://www.ncbi.nlm.nih.gov/pubmed/29184573 http://dx.doi.org/10.4103/jrms.JRMS_6_17 |
Ejemplares similares
-
Evaluation of goodness of fit of semiparametric and parametric models in analysis of factors associated with length of stay in neonatal intensive care unit
por: Kheiry, Fatemeh, et al.
Publicado: (2020) -
Non-parametric frailty Cox models for hierarchical time-to-event data
por: Gasperoni, Francesca, et al.
Publicado: (2018) -
Barriers to Health Service Utilization Among Iranian Female Sex Workers: A Qualitative Study
por: Asadi-Aliabadi, Mehran, et al.
Publicado: (2018) -
Brief introduction to parametric time to event model
por: Lim, Hyeong-Seok
Publicado: (2021) -
Semi‐parametric time‐to‐event modelling of lengths of hospital stays
por: Li, Yang, et al.
Publicado: (2022)