On the Importance in Clinical Trials That Critical Regions for Comparing 2 Independent Proportions Must Be Barnard Convex Sets

Félix Almendra-Arao, David Sotres-Ramos

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The non-inferiority and superiority (NI/S) formulations to evaluate a new treatment are frequently used in active-controlled clinical trials. A key assumption for the NI/S statistical tests that compare 2 independent proportions is that corresponding critical regions are Barnard convex sets. This assumption allows significant reduction in the computation time required to calculate test sizes for these tests. This study presents arguments that both types of testing procedures (NI/S) require the corresponding critical regions to be Barnard convex sets. Otherwise, these tests may become meaningless. Notably, the critical regions of the well-known Blackwelder and Hauck-Anderson tests are not Barnard convex sets for many sample sizes.

Original languageEnglish
Pages (from-to)208-212
Number of pages5
JournalTherapeutic Innovation and Regulatory Science
Volume48
Issue number2
DOIs
StatePublished - Mar 2014

Keywords

  • Barnard convex set
  • dichotomous data
  • independent proportions
  • non-inferiority
  • test size

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