A bias-corrected covariance estimator for improved inference when using an unstructured correlation with quadratic inference functions

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4 Scopus citations

Abstract

Notable bias can exist in the empirical covariance matrix of parameter estimates obtained from the quadratic inference function method that incorporates an unstructured working correlation. We therefore derive a bias correction. Via simulation, we show that the proposed correction leads to appropriate standard error estimation.

Original languageEnglish
Pages (from-to)1553-1558
Number of pages6
JournalStatistics and Probability Letters
Volume83
Issue number6
DOIs
StatePublished - Jun 2013

Keywords

  • Correlated data
  • Efficiency
  • Generalized estimating equations
  • Marginal model
  • Working correlation structure

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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