Journal article
The potential of composite cognitive scores for tracking progression in Huntington's disease
Journal of Huntington's disease, Vol.3(2), pp.197-207
2014
DOI: 10.3233/JHD-140101
PMID: 25062862
Abstract
Composite scores derived from joint statistical modelling of individual risk factors are widely used to identify individuals who are at increased risk of developing disease or of faster disease progression.
Details
- Title: Subtitle
- The potential of composite cognitive scores for tracking progression in Huntington's disease
- Creators
- Rebecca Jones - Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UKJulie C Stout - School of Psychology and Psychiatry, Monash University, Melbourne, AustraliaIzelle Labuschagne - School of Psychology and Psychiatry, Monash University, Melbourne, AustraliaMiranda Say - UCL Institute of Neurology, University College London, London, UKDamian Justo - Inserm, UMR_S975, CRICM and UPMC Univ Paris 06, UMR_S975 and CNRS UMR 7225, Paris, FranceAllison Coleman - Department of Medical Genetics, University of British Columbia, Vancouver, CanadaEve M Dumas - Department of Neurology, Leiden University Medical Centre, Leiden, The NetherlandsEllen Hart - Department of Neurology, Leiden University Medical Centre, Leiden, The NetherlandsGail Owen - UCL Institute of Neurology, University College London, London, UKAlexandra Durr - Inserm, UMR_S975, CRICM and UPMC Univ Paris 06, UMR_S975 and CNRS UMR 7225, Paris, France AP-HP, Hôpital de la Salpêtriére, Département de Génétique et Cytogénétique, Paris, FranceBlair R Leavitt - Department of Medical Genetics, University of British Columbia, Vancouver, CanadaRaymund Roos - Department of Neurology, Leiden University Medical Centre, Leiden, The NetherlandsAlison O'Regan - School of Psychology and Psychiatry, Monash University, Melbourne, AustraliaDoug Langbehn - Departments of Psychiatry and Biostatistics, University of Iowa, IA, USASarah J Tabrizi - UCL Institute of Neurology, University College London, London, UKChris Frost - Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Resource Type
- Journal article
- Publication Details
- Journal of Huntington's disease, Vol.3(2), pp.197-207
- DOI
- 10.3233/JHD-140101
- PMID
- 25062862
- NLM abbreviation
- J Huntingtons Dis
- ISSN
- 1879-6397
- eISSN
- 1879-6400
- Publisher
- Netherlands
- Language
- English
- Date published
- 2014
- Academic Unit
- Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984003949202771
Metrics
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