Comparisons of software packages for generalized linear multilevel models

Xiao Hua Zhou, Anthony J. Perkins, Siu L. Hui

Research output: Contribution to journalArticle

41 Scopus citations


We review five software packages that can fit a generalized linear mixed model for data with more than a two-level structure and a multiple number of independent variables. These five packages are MLn, MLwiN, SAS Proc Mixed (Glimmix Macro), HLM, and VARCL. We first discuss the features of each of the fivepackages. These features include data input and data management, statistical model capabilities, output, and user friendliness. We then compare their performance on several simulated datasets.

Original languageEnglish (US)
Pages (from-to)282-290
Number of pages9
JournalAmerican Statistician
Issue number3
StatePublished - Aug 1999

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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