Regression Models for Log-Normal Data: Comparing Different Methods for Quantifying the Association between Abdominal Adiposity and Biomarkers of Inflammation and Insulin Resistance

We compared six methods for regression on log-normal heteroscedastic data with respect to the estimated associations with explanatory factors (bias and standard error) and the estimated expected outcome (bias and confidence interval). Method comparisons were based on results from a simulation study,...

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Detalles Bibliográficos
Autores principales: Gustavsson, Sara, Fagerberg, Björn, Sallsten, Gerd, Andersson, Eva M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024993/
https://www.ncbi.nlm.nih.gov/pubmed/24681553
http://dx.doi.org/10.3390/ijerph110403521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4024993/
https://www.ncbi.nlm.nih.gov/pubmed/24681553
http://dx.doi.org/10.3390/ijerph110403521

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