Quadratic inference functions in marginal models for longitudinal data

Peter X.K. Song, Zhichang Jiang, Eunjoo Park, Annie Qu

Research output: Contribution to journalArticlepeer-review

Abstract

The quadratic inference function (QIF) is a new statistical methodology developed for the estimation and inference in longitudinal data analysis using marginal models. This method is an alternative to the popular generalized estimating equations approach, and it has several useful properties such as robustness, a goodness-of-fit test and model selection. This paper presents an introductory review of the QIF, with a strong emphasis on its applications. In particular, a recently developed SAS MACRO QIF is illustrated in this paper to obtain numerical results.

Original languageEnglish (US)
Pages (from-to)3683-3696
Number of pages14
JournalStatistics in Medicine
Volume28
Issue number29
DOIs
StatePublished - Dec 20 2009

Keywords

  • Efficiency
  • GEE
  • Goodness-of-fit
  • Model selection
  • Robustness
  • SAS macro

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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