Results 71 to 80 of about 9,468,510 (297)

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

Political 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 Class Model

, 2020
Application of latent class model for labelling astronomical images based on votes from vetters.
openaire   +2 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source

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

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  

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

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

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

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

Journal 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

Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data

Journal of Intelligence, 2020
The last series of Raven’s standard progressive matrices (SPM-LS) test was studied with respect to its psychometric properties in a series of recent papers. In this paper, the SPM-LS dataset is analyzed with regularized latent class models (RLCMs).
Alexander Robitzsch
doaj   +1 more source