A robust likelihood approach to inference about the kappa coefficient for correlated binary data

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Abstract

We construct a legitimate likelihood function for the agreement kappa coefficient for correlated data without specifically modelling all levels of correlation. This makes available the likelihood ratio test, the score test and other tools without the knowledge of the underlying distributions. This parametric robust likelihood approach applies to general clustered data scenarios. We provide simulations and real data analysis to demonstrate the advantage of the robust procedure.

Original languageEnglish
Pages (from-to)1188-1202
Number of pages15
JournalStatistical Methods in Medical Research
Volume28
Issue number4
DOIs
StatePublished - 1 Apr 2019

Keywords

  • clustered data
  • Kappa coefficient
  • model misspecification
  • multinomial distribution
  • robust likelihood

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