Author： Gustavsson Sara Fagerberg Björn Sallsten Gerd Andersson Eva M.
Publisher： MDPI
E-ISSN： 1660-4601|11|4|3521-3539
ISSN： 1660-4601
Source： International Journal of Environmental Research and Public Health, Vol.11, Iss.4, 2014-03, pp. : 3521-3539
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
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.
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