Notes on two sample tests for partially correlated (paired) data

Hani M. Samawi, Robert Vogel

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

We provide several methods to compare two Gaussian distributed means in the two sample location problems under the assumption of partially dependent observations. Simulation studies indicate that our test procedure is frequently more powerful than other methods depending on the ratio of the unpaired data and the strength and direction of the correlation between the two variables. The tests used in our comparative study are illustrated with an example based on data from a small gynecological study.

Original languageEnglish
Pages (from-to)109-117
Number of pages9
JournalJournal of Applied Statistics
Volume41
Issue number1
DOIs
StatePublished - Jan 2014

Scopus Subject Areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • corrected z-test
  • partially dependent observation
  • power of the test
  • weighted t-tests
  • weighted z-test

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