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Investigating Determinants of Multiple Sclerosis in Longitunal Studies : A Bayesian Approach
Joint Authors
Lamina, Claudia
Di Serio, Clelia
Source
Journal of Probability and Statistics
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-01
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Modelling data from Multiple Sclerosis longitudinal studies is a challenging topic since the phenotype of interest is typically ordinal; time intervals between two consecutive measurements are nonconstant and they can vary among individuals.
Due to these unobservable sources of heterogeneity statistical models for analysis of Multiple Sclerosis severity evolve as a difficult feature.
A few proposals have been provided in the biostatistical literature (Heijtan (1991); Albert, (1994)) to address the issue of investigating Multiple Sclerosis course.
In this paper Bayesian P-Splines (Brezger and Lang, (2006); Fahrmeir and Lang (2001)) are indicated as an appropriate tool since they account for nonlinear smooth effects of covariates on the change in Multiple Sclerosis disability.
By means of Bayesian P-Spline model we investigate both the randomness affecting Multiple Sclerosis data as well as the ordinal nature of the response variable.
American Psychological Association (APA)
Di Serio, Clelia& Lamina, Claudia. 2009. Investigating Determinants of Multiple Sclerosis in Longitunal Studies : A Bayesian Approach. Journal of Probability and Statistics،Vol. 2009, no. 2009, pp.1-24.
https://search.emarefa.net/detail/BIM-453874
Modern Language Association (MLA)
Di Serio, Clelia& Lamina, Claudia. Investigating Determinants of Multiple Sclerosis in Longitunal Studies : A Bayesian Approach. Journal of Probability and Statistics No. 2009 (2009), pp.1-24.
https://search.emarefa.net/detail/BIM-453874
American Medical Association (AMA)
Di Serio, Clelia& Lamina, Claudia. Investigating Determinants of Multiple Sclerosis in Longitunal Studies : A Bayesian Approach. Journal of Probability and Statistics. 2009. Vol. 2009, no. 2009, pp.1-24.
https://search.emarefa.net/detail/BIM-453874
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453874