HIGHLIGHTS
- who: Clelia Di Serio from the University Centre of Statistics in the Biomedical Sciences, (CUSSB), Vita-Salute University, Milan, Italy have published the research work: Investigating Determinants of Multiple Sclerosis in Longitunal Studies: A Bayesian Approach, in the Journal: (JOURNAL) of 12/08/2009
- what: By means of Bayesian P-Spline model the authors investigate both the randomness affecting Multiple Sclerosis data as well as the ordinal nature of the response variable. These survival models may not be the best tool whenever the analysis focuses on modelling the EDSS course over time since the hazard . . .
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