Cargando…
Is seizure frequency variance a predictable quantity?
BACKGROUND: There is currently no formal method for predicting the range expected in an individual's seizure counts. Having access to such a prediction would be of benefit for developing more efficient clinical trials, but also for improving clinical care in the outpatient setting. METHODS: Usi...
Autores principales: | Goldenholz, Daniel M., Goldenholz, Shira R., Moss, Robert, French, Jacqueline, Lowenstein, Daniel, Kuzniecky, Ruben, Haut, Sheryl, Cristofaro, Sabrina, Detyniecki, Kamil, Hixson, John, Karoly, Philippa, Cook, Mark, Strashny, Alex, Theodore, William H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5817844/ https://www.ncbi.nlm.nih.gov/pubmed/29468180 http://dx.doi.org/10.1002/acn3.519 |
Ejemplares similares
-
Characteristics of large patient‐reported outcomes: Where can one million seizures get us?
por: Ferastraoaru, Victor, et al.
Publicado: (2018) -
Simulating clinical trials with and without intracranial EEG data
por: Goldenholz, Daniel M., et al.
Publicado: (2017) -
Postoperative EEG association with seizure recurrence: Analysis of the NIH epilepsy surgery database
por: Hodges, Sarah, et al.
Publicado: (2018) -
Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability
por: Chiang, Sharon, et al.
Publicado: (2018) -
Monte Carlo simulations of randomized clinical trials in epilepsy
por: Goldenholz, Daniel M., et al.
Publicado: (2017)