Methods for comparing the means of two independent log-normal samples.
Standard methods of using the t-test and the Wilcoxon test have deficiencies for comparing the means of two skewed log-normal samples. In this paper, we propose two new methods to overcome these deficiencies: (1) a likelihood-based approach and (2) a bootstrap-based approach. Our simulation study shows that the likelihood-based approach is the best in terms of the type I error rate and power when data follow a log-normal distribution.
Zhou
X H
XH
Department of Medicine, Indiana University School of Medicine, Indianapolis 46202-5200, USA.
Gao
S
S
Hui
S L
SL
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