Inferences on the mean response in a log-regression model: The generalized variable approach

Lili Tian, Jianrong Wu

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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 languageEnglish
Pages (from-to)5180-5188
Number of pages9
JournalStatistics in Medicine
Volume26
Issue number28
DOIs
StatePublished - Dec 10 2007

Keywords

  • Confidence intervals
  • Generalized P-values
  • Generalized confidence intervals
  • Generalized variable

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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