Interval estimates for the ratio and difference of two lognormal means
- 14 February 2006
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 25 (23) , 4099-4113
Abstract
Health research often gives rise to data that follow lognormal distributions. In two sample situations, researchers are likely to be interested in estimating the difference or ratio of the population means. Several methods have been proposed for providing confidence intervals for these parameters. However, it is not clear which techniques are most appropriate, or how their performance might vary. Additionally, methods for the difference of means have not been adequately explored. We discuss in the present article five methods of analysis. These include two methods based on the log‐likelihood ratio statistic and a generalized pivotal approach. Additionally, we provide and discuss the results of a series of computer simulations. Finally, the techniques are applied to a real example. Copyright © 2006 John Wiley & Sons, Ltd.Keywords
Funding Information
- AHRQ (R01HS013105)
- Department of Veterans Affairs, Health Services Research and Development Service (ECI 03-206-1)
This publication has 10 references indexed in Scilit:
- Parametric modelling of cost data: some simulation evidenceHealth Economics, 2005
- Inferences on the means of lognormal distributions using generalized p-values and generalized confidence intervalsJournal of Statistical Planning and Inference, 2003
- Likelihood‐based confidence intervals for a log‐normal meanStatistics in Medicine, 2003
- Likelihood Analysis for the Ratio of Means of Two Independent Log-Normal DistributionsBiometrics, 2002
- Improved approximate confidence intervals for the mean of a log‐normal random variableStatistics in Medicine, 2002
- Interval estimation for the ratio in means of log-normally distributed medical costs with zero valuesComputational Statistics & Data Analysis, 2000
- Diabetic Ketoacidosis Charges Relative to Medical Charges of Adult Patients With Type I DiabetesDiabetes Care, 1997
- Generalized Confidence IntervalsJournal of the American Statistical Association, 1993
- Modified signed log likelihood ratioBiometrika, 1991
- Inference on Full or Partial Parameters Based on the Standardized Signed Log Likelihood RatioBiometrika, 1986