Results 61 to 70 of about 864,389 (286)

Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz, Neha V. Safi, Iliana Pliska‐Bloch, Ulrike W. Kaunzner, Ha Luu, Mert Sisman, Yi Wang, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints [PDF]

, 2012
Unsupervised estimation of latent variable models is a fundamental problem central to numerous applications of machine learning and statistics. This work presents a principled approach for estimating broad classes of such models, including probabilistic ...
Anandkumar, Animashree, Hsu, Daniel, Javanmard, Adel, Kakade, Sham M.   +3 more
core   +2 more sources

Bayesian phylodynamic inference with complex models.

PLoS Computational Biology, 2018
Population genetic modeling can enhance Bayesian phylogenetic inference by providing a realistic prior on the distribution of branch lengths and times of common ancestry.
Erik M Volz, Igor Siveroni
doaj   +1 more source

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello, Rui Xiao, Xuemei Zhang, Jahan Jazayeri, Irit R. Rasooly, Pamela F. Weiss   +5 more
wiley   +1 more source

Bayesian three-point water models

npj Computational Materials
We introduce a Bayesian framework leveraging synthetic likelihoods to enable uncertainty quantification and robust inference of non-bonded force parameters in three-point water models. The approach integrates multiple experimental observables—enthalpy of
Alfred T. Nordman, Stefan Engblom, David van der Spoel   +2 more
doaj   +1 more source

Bayesian mark–recapture–resight–recovery models: increasing user flexibility in the BUGS language

Ecosphere, 2021
Estimating demographic parameters of interest is a critical component of applied conservation biology and evolutionary ecology, where demographic models and demographic data have become increasingly complex over the last several decades.
Thomas V. Riecke, Dan Gibson, Alan G. Leach, Mark S. Lindberg, Michael Schaub, James S. Sedinger   +5 more
doaj   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham, Meghan McPherson, Lillian Lim, Roberta A. Berard, Matthew Berkowitz, Jean‐Philippe Proulx‐Gauthier, Brian M. Feldman, Nicole Johnson, Dax G. Rumsey, Heinrike Schmeling, Lori B. Tucker, Thomas Loughin, Kristin M. Houghton, Jaime Guzman, The CAPRI Registry Investigators   +14 more
wiley   +1 more source

A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models

Journal of New Theory, 2020
Structural Equation Models (SEMs) with latent variables provide a general framework for modelling relationships in multivariate data. Although SEMs are most commonly used in studies involving intrinsically latent variables, such as happiness, quality of ...
Naci Murat, Mehmet Ali Cengiz
doaj  

Turning Bayesian model averaging into Bayesian model combination

The 2011 International Joint Conference on Neural Networks, 2011
Bayesian methods are theoretically optimal in many situations. Bayesian model averaging is generally considered the standard model for creating ensembles of learners using Bayesian methods, but this technique is often out-performed by more ad hoc methods in empirical studies.
Kristine Monteith, James L. Carroll, Kevin Seppi, Tony Martinez   +3 more
openaire   +2 more sources

A Tutorial on Bayesian Nonparametric Models

, 2011
A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in choosing the number ofclusters in mixture models or the number of factors in
Blei, David M., Gershman, Samuel J.
core   +3 more sources