A review on recent advances and applications of h-likelihood method

Woojoo Lee, Il Do Ha, Maengseok Noh, Donghwan Lee, Youngjo Lee

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


Having spent almost 30 years since Lee and Nelder introduced the h-likelihood at the discussion meeting held in Royal Statistical Society in 1994, Lee and his colleagues and students have studied how to define the h-likelihood for complex statistical models and conduct inference about unobservables and fixed unknown parameters in them. In this paper we review several important research areas with a focus on how the h-likelihood method has been applied. This review covers areas including analysis of clustered survival data, competing risk models with frailty, joint models for longitudinal and survival outcomes, sparse high-dimensional multivariate analysis, spatial analysis and multiple testing.

Original languageEnglish
Pages (from-to)681-702
Number of pages22
JournalJournal of the Korean Statistical Society
Issue number3
StatePublished - Sep 2021


  • Adjusted profile h-likelihood
  • H-likelihood
  • Hierarchical generalized linear model
  • Unobservable


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