Optimally selected chi square statistics for equivalence testing

Research output: Contribution to journalArticle

Abstract

In some experiments, the aim is to establish equivalence between treatment groups, rather than to establish greater efficacy of one group over another. Examples are drug bioavailability studies, in which it is desired to exhibit bioequivalence between a new formulation of a drug and the standard formulation, and studies of experimental conditions for biological assays, in which it is desired to exhibit equivalent assay response between fresh and non-fresh specimens. In many cases, the outcome measure is continuous, but the investigator prefers to dichotomize it on the basis of a threshold. If the threshold is selected to make the test statistic most favorable for equivalence, standard chi square percentile points are incorrect. Here, we derive asymptotically correct percentile points and significance levels for two approaches to equivalence testing.

Original languageEnglish (US)
Pages (from-to)247-257
Number of pages11
JournalJournal of Statistical Planning and Inference
Volume93
Issue number1-2
DOIs
StatePublished - Feb 1 2001

Fingerprint

Chi-square
Assays
Percentile
Equivalence
Statistics
Testing
Drugs
Bioequivalence
Formulation
Significance level
Test Statistic
Efficacy
Experiments
Experiment
Standards
Biological Availability

Keywords

  • 62F03
  • 62L10
  • Boundary crossing
  • Brownian motion
  • Discrete sequential boundary
  • Maximal selection

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Statistics and Probability

Cite this

Optimally selected chi square statistics for equivalence testing. / Betensky, Rebecca.

In: Journal of Statistical Planning and Inference, Vol. 93, No. 1-2, 01.02.2001, p. 247-257.

Research output: Contribution to journalArticle

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