137
Views
3
CrossRef citations to date
0
Altmetric
Research Article

A gamma process modeling approach for the comparison of dissolution profiles

, &
Pages 553-562 | Received 01 Jun 2017, Accepted 07 Nov 2017, Published online: 01 Dec 2017
 

Abstract

In this paper, we propose a stochastic gamma process model for assessing the similarity of two dissolution profiles. Based on the proposed stochastic model, we utilize the difference factor and similarity factor to test the similarity of two dissolution profiles based on bootstrap confidence intervals. The performances of the proposed methods are compared with a multivariate test procedure via Monte Carlo simulation studies. The proposed testing methods are shown to be powerful and effectively controlling the error rate. The proposed model provides a simple yet useful alternative parametric statistical model for assessing the similarity of two dissolution profiles. All the methods are illustrated with a numerical example.

Disclosure statement

The authors declare no competing financial interests.

Additional information

Funding

This work was supported by the Early Career Scheme Fund (Ref. 28300114) and the General Research Fund (Project No. 14201015), granted by the Research Grants Council. H. K. T. Ng’s work was supported by a grant from the Simons Foundation (#280601).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,085.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.