Results 51 to 60 of about 11,069 (260)

Bayesian Variable Selection for Latent Class Models [PDF]

Biometrics, 2010
In this article we develop a latent class model with class probabilities that depend on subject-specific covariates. One of our major goals is to identify important predictors of latent classes. We consider methodology that allows estimation of latent classes while allowing for variable selection uncertainty.
Ghosh, Joyee, Herring, Amy H., Siega-Riz, Anna Maria   +2 more
openaire   +3 more sources

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

Annals 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, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Measuring the performance of LPA, LCGA, LGCM, and GMM in identifying the homogenous subgroups (latent classes) within the wider heterogeneous population of patients on DTG

Frontiers in Applied Mathematics and Statistics
BackgroundIdentifying heterogeneity in longitudinal data is critical for understanding diverse trajectories in clinical and epidemiological research. Traditional analytical methods often fail to distinguish latent subpopulations.
Harrid Nkhoma, Atupele Ngina Mulaga, Save Kumwenda, Mphatso Kamndaya   +3 more
doaj   +1 more source

Malaria attributable fractions with changing transmission intensity: Bayesian latent class vs logistic models

Malaria Journal, 2022
Background Asymptomatic carriage of malaria parasites is common in high transmission intensity areas and confounds clinical case definitions for research studies.
Kennedy Mwai, Irene Nkumama, Amos Thairu, James Mburu, Dennis Odera, Rinter Kimathi, Lydia Nyamako, James Tuju, Samson Kinyanjui, Eustasius Musenge, Faith Osier   +10 more
doaj   +1 more source

Latent class model with application to speaker diarization [PDF]

EURASIP Journal on Audio, Speech, and Music Processing, 2019
In this paper, we apply a latent class model (LCM) to the task of speaker diarization. LCM is similar to Patrick Kenny's variational Bayes (VB) method in that it uses soft information and avoids premature hard decisions in its iterations. In contrast to the VB method, which is based on a generative model, LCM provides a framework allowing both ...
Liang He 0003, Xianhong Chen, Can Xu, Yi Liu 0049, Jia Liu 0001, Michael T. Johnson   +5 more
openaire   +3 more sources

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

Annals 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, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Unmodeled DIF in latent class analysis: Consequences for class enumeration

Methods in Psychology
This paper builds upon previous research to investigate the effects of misspecified covariate relations in latent class analysis (LCA) using a Monte Carlo simulation.
Dina A.N. Arch, Karen Nylund-Gibson
doaj   +1 more source

Multiplicative latent force models [PDF]

, 2020
Latent force models (LFM) are a class of flexible models of dynamic systems, combining a simple mechanistic model with the flexibility of an additive inhomogeneous Gaussian process (GP) forcing term.
Tait, Daniel J.
core   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source