Assessing nonsuperiority, noninferiority, or equivalence when comparing two regression models over a restricted covariate region


Liu, W., Bretz, F., Hayter, A. J. and Wynn, H. P. (2009) Assessing nonsuperiority, noninferiority, or equivalence when comparing two regression models over a restricted covariate region Biometrics, 65, (4), pp. 1279-1287. (doi:10.1111/j.1541-0420.2008.01192.x).

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Description/Abstract

In many scientific problems the purpose of the comparison of two regression models, which describe the relationship between a same response variable and several same covariates for two different groups, is to demonstrate that one model is no higher than the other by a negligible amount, or to demonstrate that the models have only negligible differences and so they can be regarded as describing practically the same relationship between the response variable and the covariates.

In this article, methods based on one-sided pointwise confidence bands are proposed for assessing the nonsuperiority of one model to the other and for assessing the equivalence of two regression models. Examples from QT/QTc study and from drug stability study are used to illustrate the methods.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1111/j.1541-0420.2008.01192.x
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Keywords: confidence bands, drug stability study, equivalence, F-tests, hypotheses tests, intersection-union test, nonsuperiority, noninferiority, QT/QTc studies, regression, simultaneous inference
Subjects:
Organisations: Statistics
ePrint ID: 146023
Date :
Date Event
December 2009Published
Date Deposited: 20 Apr 2010 11:48
Last Modified: 18 Apr 2017 19:56
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/146023

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