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.
Original language | English |
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Pages (from-to) | 5180-5188 |
Number of pages | 9 |
Journal | Statistics in Medicine |
Volume | 26 |
Issue number | 28 |
DOIs | |
State | Published - Dec 10 2007 |
Keywords
- Confidence intervals
- Generalized P-values
- Generalized confidence intervals
- Generalized variable
ASJC Scopus subject areas
- Epidemiology
- Statistics and Probability