Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression

BACKGROUND: Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease, is a rare disease with extreme between-subject variability, especially with respect to rate of disease progression. This makes modelling a subject’s disease progression, which is measured by the ALS Functional Ratin...

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Detalles Bibliográficos
Autores principales: Karanevich, Alex G., Statland, Jeffrey M., Gajewski, Byron J., He, Jianghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801819/
https://www.ncbi.nlm.nih.gov/pubmed/29409450
http://dx.doi.org/10.1186/s12874-018-0479-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5801819/
https://www.ncbi.nlm.nih.gov/pubmed/29409450
http://dx.doi.org/10.1186/s12874-018-0479-9

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