Statistical Models of Parkinson's Disease Progression: Predictive Validity in a 3-Year Follow-up

Mendes, Alexandre; Goncalves, Alexandra; Vila-Cha, Nuno; Calejo, Margarida; Moreira, Ines; Fernandes, Joana; Damasio, Joana; Teixeira-Pinto, Armando; Krack, Paul; Lima, Antonio Bastos; Cavaco, Sara

doi:10.3233/JPD-160877

Scientific article

English

Statistical Models of Parkinson's Disease Progression: Predictive Validity in a 3-Year Follow-up

ContributorsMendes, Alexandre; Goncalves, Alexandra; Vila-Cha, Nuno; Calejo, Margarida; Moreira, Ines; Fernandes, Joana; Damasio, Joana; Teixeira-Pinto, Armando; Krack, Paul; Lima, Antonio Bastos; Cavaco, Sara

Published inJournal of Parkinson's disease, vol. 6, no. 4, p. 793-804

Publication date2016

Keywords

Parkinson disease
Disease progression
Statistical models
Validity of results

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département des neurosciences cliniques

Research groups

Maladie de Parkinson (911)

Citation (ISO format)

MENDES, Alexandre et al. Statistical Models of Parkinson’s Disease Progression: Predictive Validity in a 3-Year Follow-up. In: Journal of Parkinson’s disease, 2016, vol. 6, n° 4, p. 793–804. doi: 10.3233/JPD-160877

Identifiers

PID : unige:95974
DOI : 10.3233/JPD-160877
PMID : 27589537

Journal ISSN1877-7171

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Statistical Models of Parkinson's Disease Progression: Predictive Validity in a 3-Year Follow-up

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