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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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| Pubblicato in: | BMC Med Res Methodol |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5801819/ https://ncbi.nlm.nih.gov/pubmed/29409450 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0479-9 |
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