title: Inferences on the mean response in a log-regression model: the generalized variable approach.
abstract: This paper proposes a novel approach for the confidence interval estimation and hypothesis testing of the mean response in a log-regression model using the concept of generalized variable. Simulation studies demonstrate that the proposed confidence intervals have satisfying coverage probabilities. The proposed approach can be simply carried out by a few simulation steps. Therefore, it is an ideal candidate for making inferences about the mean response in a log-regression model.
authors.affiliation: Department of Biostatistics, University at Buffalo, Buffalo, NY 14214, USA. ltian@buffalo.edu
authors.forename: Lili
authors.initials: L
authors.lastname: Tian
authors.forename: Jianrong
authors.initials: J
authors.lastname: Wu
mesh_terms: D000704:Analysis of Variance; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D016014:Linear Models