Cengiz, MA and Percy, DF 
ORCID: https://orcid.org/0000-0002-2733-3855
2001,
'Mixed multivariate generalized linear models for assessing lower-limb arterial stenoses.'
, Statistics in Medicine, 20 (11)
, pp. 1663-1679.
Abstract
Experiments and observational studies often involve gathering information on several response variables, enabling us to model their dependence on observable predictor variables. Despite associations between the response variables, they are often analysed separately using general and generalized linear models. This paper investigates applications of multivariate regression analysis to improve the accuracy of predictions and decisions, in the specific context of diagnosing arterial stenoses in human legs. Two basic models are developed for this application, using (i) four binary responses and (ii) a mixture of two binary and two normal responses. The results clearly demonstrate the potential advantages offered by this approach.
| Item Type: | Article |
|---|---|
| Themes: | Subjects / Themes > R Medicine > R Medicine (General) Subjects / Themes > Q Science > QA Mathematics > QA275 Mathematical Statistics Health and Wellbeing Subjects outside of the University Themes |
| Schools: | Schools > Salford Business School > Salford Business School Research Centre |
| Journal or Publication Title: | Statistics in Medicine |
| Refereed: | Yes |
| ISSN: | 0277-6715 |
| Depositing User: | H Kenna |
| Date Deposited: | 21 Aug 2007 12:36 |
| Last Modified: | 27 Aug 2021 21:59 |
| URI: | https://usir.salford.ac.uk/id/eprint/266 |
Actions (login required)
 |
Edit record (repository staff only) |
Tools
Tools