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Short-term prediction of secondary progression in a slinding window: A test of a prdicting alogrithm in a validation cohort.
Göteborgs universitet, Institutionen för neurologi.
Karolinska institutet, Institutionen för neurvetenskap.
Göteborgs universitet, Institutionen för neurovetenskap.
Chalmers tekniska universitet, Institutionen för matematisk statistik.
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2019 (English)In: Multiple Sclerosis Journal, Experimental, Translational and Clinical, E-ISSN 2055-2173, p. 1-10Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2019. p. 1-10
Keywords [en]
Epidemiology, multiple sclerosis, outcome measurement, progressive, relapsing/remitting
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Neurosciences
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URN: urn:nbn:se:uu:diva-402262DOI: 10.1177/2055217319875466OAI: oai:DiVA.org:uu-402262DiVA, id: diva2:1385178
Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-20Bibliographically approved

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Skoog . . . Fagius . . . Andersen Prediction Mult Scler ETC 2019(501 kB)10 downloads
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