Pooling batches in drug stability study by using constant-width simultaneous confidence bands
Liu, W., Jamshidian, M., Zhang, Y., Bretz, F. and Han, X.L. (2006) Pooling batches in drug stability study by using constant-width simultaneous confidence bands. Statistics in Medicine, 1-13. (doi:10.1002/sim.2756). (In Press).
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One important study objective in drug stability studies is to estimate the shelf-life of a drug. A key statistical problem involved in this is how to assess the practical equivalence of different batches of the same drug so that different batches can be subgrouped to produce a single shelf-life for the drug. In this paper constant-width simultaneous confidence bands are proposed to quantify the magnitude of difference between different batches, with a particular view to establish the practical equivalence of different batches. This approach is suitable for the situation that the intercepts and slopes of the regression lines for the batches cannot be assumed to be equal. It is shown how constant-width simultaneous confidence bands can be easily constructed for the multiple comparison of several general linear regression models. In particular, it is shown that constant-width simultaneous confidence bands have a better chance to establish the equivalence than, and so are preferable to, the hyperbola-shaped simultaneous confidence bands considered (J. Am. Stat. Assoc. 2004; 99:395-403).
|Keywords:||drug stability studies, equivalence, linear regression, multiple comparisons, multivariate t, simultaneous inference, statistical simulation|
|Subjects:||R Medicine > RS Pharmacy and materia medica
H Social Sciences > HA Statistics
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||11 Dec 2006|
|Last Modified:||01 Jun 2011 02:18|
|Contributors:||Liu, W. (Author)
Jamshidian, M. (Author)
Zhang, Y. (Author)
Bretz, F. (Author)
Han, X.L. (Author)
|Date:||18 May 2006|
|Contact Email Address:||W.Liu@maths.soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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