Results 61 to 70 of about 5,459,614 (334)

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

A nested expectation-maximization algorithm for latent class models with covariates [PDF]

open access: yes, 2018
We develop a nested EM routine for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, guarantees monotone log-likelihood sequences along with improved convergence ...
Canale, Antonio   +2 more
core   +2 more sources

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung   +7 more
wiley   +1 more source

poLCA: An R Package for Polytomous Variable Latent Class Analysis

open access: yesJournal of Statistical Software, 2011
poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line.
Drew A. Linzer, Jeffrey B. Lewis
doaj  

Mixture Rasch Model with Main and Interaction Effects of Covariates on Latent Class Membership

open access: yesInternational Journal of Assessment Tools in Education, 2019
Covariateshave been used in mixture IRT models to help explain why examinees are classedinto different latent classes. Previous research has considered manifestvariables as covariates in a mixture Rasch analysis for prediction of groupmembership.
Tugba Karadavut   +2 more
doaj   +1 more source

Identifying maltreatment subgroups with patterns of maltreatment subtype and chronicity: A latent class analysis approach.

open access: yesInternational Journal of Child Abuse & Neglect, 2019
Maltreatment experiences are complex, and it is difficult to characterize the heterogeneity in types of maltreatment. Subtypes, such as emotional maltreatment, sexual abuse, physical abuse, and neglect commonly co-occur and may persist across development.
Jennifer M. Warmingham   +4 more
semanticscholar   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito   +14 more
wiley   +1 more source

Detecting Technological Heterogeneity in New York Dairy Farms [PDF]

open access: yes
Agricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different ...
Alvarez, Antonio   +2 more
core   +4 more sources

A Zero-Inflated Box-Cox Normal Unipolar Item Response Model for Measuring Constructs of Psychopathology [PDF]

open access: yes, 2018
This research introduces a latent class item response theory (IRT) approach for modeling item response data from zero-inflated, positively skewed, and arguably unipolar constructs of psychopathology. As motivating data, the authors use 4,925 responses to
Liu, Yang, Magnus, Brooke E.
core   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini   +28 more
wiley   +1 more source

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