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Inferences on the mean response in a log‐regression model: The generalized variable approach
Author(s) -
Tian Lili,
Wu Jianrong
Publication year - 2007
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2911
Subject(s) - statistics , regression analysis , variable (mathematics) , regression , mathematics , econometrics , computer science , mathematical analysis
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. Copyright © 2007 John Wiley & Sons, Ltd.