Results 71 to 80 of about 9,854,297 (301)

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay   +13 more
wiley   +1 more source

A Bayesian mixture model captures temporal and spatial structure of voting blocs within longitudinal referendum data

open access: yesPolitical Science Research and Methods
The estimation of voting blocs is an important statistical inquiry in political science. However, the scope of these analyses is usually restricted to roll call data where individual votes are directly observed.
John O’Brien
doaj   +1 more source

Latent classes of delinquent behaviour associated with criminal social identity among juvenile offenders in Pakistan [PDF]

open access: yes, 2015
© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to examine the number and nature of latent classes of delinquency that exist among male juvenile offenders incarcerated in prisons in Pakistan.
Dhingra, Katie   +8 more
core   +1 more source

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma   +16 more
wiley   +1 more source

A note on the identifiability of certain latent class models [PDF]

open access: yes
Wiering (2005, Statistics and Probability Letters, 75, 211-218) provides conditions for the identifiability of a class of latent models. Here we derive an alternative more general method of proving this result, which is based on standard identi ...
Cole, Diana J.
core  

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl   +6 more
wiley   +1 more source

Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R

open access: yesJournal of Statistical Software, 2019
Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are
Satu Helske, Jouni Helske
doaj   +1 more source

First in Class? The Performance of Latent Class Model [PDF]

open access: yes
Replaced with revised version of poster 07/22/11.Monte Carlo Simulations, Latent Class Model, Environmental Economics and Policy,
Lupi, Frank, Chen, Min
core  

Inebilizumab in AQP4‐Seropositive NMOSD: One‐Year Follow‐Up From a Multicenter, Real‐World Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Real‐world evidence on inebilizumab among neuromyelitis optica spectrum disorder (NMOSD) patients is lacking. This study assessed inebilizumab among Chinese patients with aquaporin 4 autoantibody (AQP4‐IgG)‐seropositive NMOSD in a real‐world setting.
Mengcui Gui   +10 more
wiley   +1 more source

Hierarchical latent class models for cluster analysis

open access: yes, 2002
Latent class models are used for cluster analysis of categorical data. Underlying such a model is the assumption that the observed variables are mutually independent given the class variable.
Nevin L. Zhang, Craig Boutilier
core   +2 more sources

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