Stratified testing for treatment effects with missing data

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

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
JournalBiometrics
Volume54
Issue number2
DOIs
StatePublished - 1998
Externally publishedYes

ASJC Scopus subject areas

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

Keywords

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

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