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Chinese Journal of Clinical Pharmacology and Therapeutics ›› 2008, Vol. 13 ›› Issue (3): 299-302.

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Sample size estimation and hypothesis testing of assessing equivalence/noninferiority for paired binary data

LIU Yu-xiu, XU Xiao-li, ZHENG Jun   

  1. Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, Jiangsu, China
  • Received:2008-02-18 Revised:2008-02-18 Published:2020-10-15

Abstract: Sometimes assessment of equivalence / noninferiority between two new drugs and medical devices involves comparisons of the response rates between paired binary endpoints in clinical trials.Statistical procedures have been developed for inferring equivalence / noninferiority often concentrated on comparing the rates of two independent binary responses in the past few years.Procedures for assessing equivalence/ noninferiority between the paired binary endpoints have not been well studied.In this paper, we introduce the determination of sample size and hypothesis testing of equivalence / noninferiority for paired binary data based on restricted maximum likelihood estimation.An equivalence / noninferiority clinical trial of ultrasound diagnostic device is used to illustrate the proposed methods.Discussions on some important issues are provided to help understand and conduct these trials.

Key words: sample size, hypothesis testing, equivalence, noninferiority, matched-pair design, binary response, paired binary data

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