Int. J. Environ. Res. Public Health 2014, 11(4), 3521-3539; doi:10.3390/ijerph110403521
Article

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

Received: 31 January 2014; in revised form: 14 March 2014 / Accepted: 20 March 2014 / Published: 27 March 2014
(This article belongs to the Special Issue IJERPH: 10th Anniversary)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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, and also the estimation of the association between abdominal adiposity and two biomarkers; C-Reactive Protein (CRP) (inflammation marker,) and Insulin Resistance (HOMA-IR) (marker of insulin resistance). Five of the methods provide unbiased estimates of the associations and the expected outcome; two of them provide confidence intervals with correct coverage.
Keywords: linear regression model; log-normal distribution; heteroscedasticity; biomarkers of inflammation; insulin resistance; simulation study
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MDPI and ACS Style

Gustavsson, S.; Fagerberg, B.; Sallsten, G.; Andersson, E.M. Regression Models for Log-Normal Data: Comparing Different Methods for Quantifying the Association between Abdominal Adiposity and Biomarkers of Inflammation and Insulin Resistance. Int. J. Environ. Res. Public Health 2014, 11, 3521-3539.

AMA Style

Gustavsson S, Fagerberg B, Sallsten G, Andersson EM. Regression Models for Log-Normal Data: Comparing Different Methods for Quantifying the Association between Abdominal Adiposity and Biomarkers of Inflammation and Insulin Resistance. International Journal of Environmental Research and Public Health. 2014; 11(4):3521-3539.

Chicago/Turabian Style

Gustavsson, Sara; Fagerberg, Björn; Sallsten, Gerd; Andersson, Eva M. 2014. "Regression Models for Log-Normal Data: Comparing Different Methods for Quantifying the Association between Abdominal Adiposity and Biomarkers of Inflammation and Insulin Resistance." Int. J. Environ. Res. Public Health 11, no. 4: 3521-3539.

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