Sample size for comparing correlated concordance rates

Sin Ho Jung, Huiman X. Barnhart, Insuk Sohn, Sandra S. Stinnett, David K. Wallace

Research output: Contribution to journalArticle

Abstract

We consider collecting the measurements of a gold standard and two methods with error from each site of subjects. We propose an asymptotic test statistic to compare the concordance rates of two methods with the gold standard and a closed-form sample size formula. Through simulations, we show that the test statistic accurately controls the type I error in small sample sizes, and the sample size formula accurately maintains the power in various settings. The proposed test statistic and the sample size formula can be easily modified for other indices for agreement such as sensitivity and specificity. A real eye study is taken as an example.

Original languageEnglish (US)
Pages (from-to)359-369
Number of pages11
JournalJournal of biopharmaceutical statistics
Volume18
Issue number2
DOIs
StatePublished - Mar 1 2008
Externally publishedYes

Keywords

  • Cluster size
  • Correlation coefficients
  • GEE
  • Sample size recalculation
  • Sensitivity
  • Specificity

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

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