Analysis of clustered matched‐pair data for a non‐inferiority study design

descriptionPublicationkeyboard_double_arrow_right Article 18 Dec 2002 English Publisher:WileyJournal:Statistics in Medicine, volume 22, pages 279-290 (issn: 0277-6715, eissn: 1097-0258,

Copyright policy )

Authors: Valerie L, Durkalski; Yuko Y, Palesch; Stuart R, Lipsitz; Philip F, Rust;

doi: 10.1002/sim.1385

pmid: 12520562

Analysis of clustered matched‐pair data for a non‐inferiority study design

- Summary
- Subjects
- Metrics

Abstract

AbstractHypothesis testing of matched‐pair data has been adapted for equivalence (one‐ and two‐sided) study designs; however, a statistical problem arises when more than one measurement is recorded for each study subject. Ignoring the correlation between the repeated measurements per subject may underestimate the standard error of the parameter estimate. A method of testing for non‐inferiority or equivalence of clustered matched‐pair data is not yet available. This paper proposes a Wald‐type test statistic for a non‐inferiority hypothesis and applies it to the comparison of two diagnostic procedures. Copyright © 2003 John Wiley & Sons, Ltd.

Related Organizations

Medical University of South Carolina
United States

Keywords

Tomography, Emission-Computed, Single-Photon, Research Design, Hyperparathyroidism, Matched-Pair Analysis, Statistics as Topic, Humans, Computer Simulation, Sensitivity and Specificity, Tomography, Emission-Computed

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average