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), 1279-1287. (doi:10.1111/j.1541-0420.2008.01192.x).
Full text not available from this repository.
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.
|Keywords:||confidence bands, drug stability study, equivalence, F-tests, hypotheses tests, intersection-union test, nonsuperiority, noninferiority, QT/QTc studies, regression, simultaneous inference|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||20 Apr 2010 11:48|
|Last Modified:||01 Jun 2011 10:15|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)