Stratified testing for treatment effects with missing data

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13 Scopus citations


Dawson and Lagakos (1993, Biometrics 49, 1022-1032) proposed a stratified test for repeated measures data that contain missing observations. They recommended stratification based on missing data patterns and considered sufficient conditions under which the size of the test is properly retained. In this paper, we point out some practical problems with these conditions and illustrate them with their CD4 count example as well as a simulation study. We give a less stringent condition and delineate its merit. We also discuss what to do when none of the conditions are met.

Original languageEnglish (US)
Pages (from-to)782-787
Number of pages6
Issue number2
StatePublished - 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics


  • Missing data pattern
  • Postrandomization stratification
  • Sufficient condition
  • Test size


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