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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Veröffentlicht in:	International journal of environmental research and public health 2014-03, Vol.11 (4), p.3521-3539
Hauptverfasser:	Gustavsson, Sara, Fagerberg, Björn, Sallsten, Gerd, Andersson, Eva M
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal Fat Adiposity Biomarkers Biomarkers - analysis C-Reactive Protein - analysis Female Humans Inflammation - blood Insulin resistance Insulin Resistance - physiology Middle Aged Models, Biological Regression Analysis Simulation
Online-Zugang:	Volltext
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