Literature DB >> 19210731

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

W Liu1, F Bretz, A J Hayter, H P Wynn.   

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.

Mesh:

Substances:

Year:  2009        PMID: 19210731     DOI: 10.1111/j.1541-0420.2008.01192.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  Optimal designs for comparing curves.

Authors:  Holger Dette; Kirsten Schorning
Journal:  Ann Stat       Date:  2016-04-11       Impact factor: 4.028

Review 2.  Lessons learned from IDeAl - 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials.

Authors:  Ralf-Dieter Hilgers; Malgorzata Bogdan; Carl-Fredrik Burman; Holger Dette; Mats Karlsson; Franz König; Christoph Male; France Mentré; Geert Molenberghs; Stephen Senn
Journal:  Orphanet J Rare Dis       Date:  2018-05-11       Impact factor: 4.123

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.