Cargando…
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification
BACKGROUND: Log-binomial and robust (modified) Poisson regression models are popular approaches to estimate risk ratios for binary response variables. Previous studies have shown that comparatively they produce similar point estimates and standard errors. However, their performance under model missp...
Autores principales: | Chen, Wansu, Qian, Lei, Shi, Jiaxiao, Franklin, Meredith |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013902/ https://www.ncbi.nlm.nih.gov/pubmed/29929477 http://dx.doi.org/10.1186/s12874-018-0519-5 |
Ejemplares similares
-
Comparison of robustness to outliers between robust poisson models and log-binomial models when estimating relative risks for common binary outcomes: a simulation study
por: Chen, Wansu, et al.
Publicado: (2014) -
Odds ratios from logistic, geometric, Poisson, and negative binomial regression models
por: Sroka, Christopher J., et al.
Publicado: (2018) -
Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies
por: Ibáñez-Pinilla, Milcíades, et al.
Publicado: (2023) -
Zero inflated Poisson and negative binomial regression models: application in education
por: Salehi, Masoud, et al.
Publicado: (2015) -
On the consequences of model misspecification in logistic regression.
por: Begg, M D, et al.
Publicado: (1990)