Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 more
wiley +1 more source
Hunter perceptions and acceptance of alternative deer management regulations
Wildlife Society Bulletin, 2011 Wildlife managers are often confronted with a policy paradox where a majority of the public supports an outcome, but there is no agreement on specific management strategies to achieve this outcome.
Louis Cornicelli +3 more
doaj +1 more source
Wistar rats choose alcohol over social interaction in a discrete-choice model. [PDF]
Neuropsychopharmacology, 2023 Augier G +6 more
europepmc +1 more source
Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park +5 more
wiley +1 more source
MNP: R Package for Fitting the Multinomial Probit Model
Journal of Statistical Software, 2005 MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the
Kosuke Imai, David A. Van Dyk
doaj +1 more source
Motivating factors of compliance to government's COVID-19 preventive guidelines: An investigation using discrete choice model. [PDF]
Am J Infect Control, 2023 Kwon S, Suh HS, Nam CM, Kang HY.
europepmc +1 more source
The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models
SSRN Electronic Journal, 2019 Problem definition. In retailing, discrete choice models (DCMs) are commonly used to capture the choice behavior of customers when offered an assortment of products. When estimating DCMs using transaction data, flexible models (such as machine learning models or nonparametric models) are typically not interpretable and hard to estimate, while tractable
Ningyuan Chen +2 more
openaire +2 more sources
Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
Binary choice models with discrete regressors: Identification and misspecification [PDF]
Journal of Econometrics, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources