Two ESR positions associated with the ITN on scattering amplitudes
Subject to successful completion of the grant preparation, our Department will soon advertise 1 (or 2) three-year Early-Stage Researcher positions in the area of scattering amplitudes. These will be part of the Innovative Training Network SAGEX "Scattering Amplitudes: from Geometry to Experiment" funded by the European Community. As part of the training we will offer participation in several introductory and advanced training schools, as well as secondments at some of the leading software companies. The supervisors will be Prof. Patrick Dorey and Prof. Paul Heslop. The application process is expected to open in April 2018. Interested applicants are invited to contact email@example.com or firstname.lastname@example.org.
(4 Mar 2018)
David Cushing's research chosen for the CrowdMath Project
Statistics Seminars: Issues in ROC surface analysis with an application to externally validated cognition in Parkinson disease screening
Presented by Christos Nakas, University of Thessaly
19 July 2011 14:15 in TBC
The diagnostic accuracy of the Montreal Cognitive Assessment (MoCA) has been established recently for screening externally validated cognition in Parkinson's disease (PD) (Dalrymple-Alford et al, 2010). Patients were classified as having either normal cognition (PD-N), mild cognitive impairment (PD-MCI), or dementia (PD-D). ROC curve methodology has been used to assess discrimination between two adjacent classes and the Youden index has been employed for cut-off point selection. ROC surface methodology has also been used for the assessment of the simultaneous discrimination of the three classes. Recently, Nakas et al (2010) proposed a generalization of the Youden index for the assessment of accuracy and cut-off point selection in simultaneous discrimination of three classes. In this work, we examine properties of the generalized Youden index and compare two- vs. three-class classification accuracy approaches when screening for cognition status in PD.
Dalrymple-Alford, J.C., Macaskill, M.R., Nakas, C.T., et al. (2010). The MoCA: Well suited screen for cognitive impairment in Parkinson Disease. Neurology, 75, 1717-1725.
Nakas, C.T., Alonzo, T.A. And Yiannoutsos, C.T. (2010). Accuracy and cut-off point selection in three-class classification problems using a generalization of the Youden index. Statistics in Medicine, 29, 2946-2955.