Methods for comparing the means of two independent log-normal samples

Biometrics. 1997 Sep;53(3):1129-35.


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.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Biometry / methods
  • Costs and Cost Analysis
  • Data Interpretation, Statistical
  • Diabetes Mellitus, Type 1 / drug therapy
  • Diabetes Mellitus, Type 1 / economics
  • Inpatients
  • Medical Records
  • Models, Statistical*
  • Outpatients
  • Probability
  • Reference Values
  • Reproducibility of Results
  • Research Design*
  • United States