Connectivity patterns between multiple allergen specific IgE antibodies and their association with severe asthma

G Roberts, S Fontanella, A Selby, R Howard… - Journal of allergy and …, 2020 - Elsevier
Background Allergic sensitization is associated with severe asthma, but assessment of
sensitization is not recommended by most guidelines. Objective We hypothesized that …

[HTML][HTML] Evolution of IgE responses to multiple allergen components throughout childhood

R Howard, D Belgrave, P Papastamoulis… - Journal of Allergy and …, 2018 - Elsevier
Background There is a paucity of information about longitudinal patterns of IgE responses to
allergenic proteins (components) from multiple sources. Objectives This study sought to …

Audience segmentation to improve targeting of conservation interventions for hunters

S Jones, A Keane, F St John, J Vickery… - Conservation …, 2019 - Wiley Online Library
Audience segmentation could help improve the effectiveness of conservation interventions.
Marketers use audience segmentation to define the target audience of a campaign. The …

Component‐specific clusters for diagnosis and prediction of allergic airway diseases

R Howard, S Fontanella, A Simpson… - Clinical & …, 2024 - Wiley Online Library
Background Previous studies which applied machine learning on multiplex component‐
resolved diagnostics arrays identified clusters of allergen components which are biologically …

COBRAPed cohort: Do sensitization patterns differentiate children with severe asthma from those with a milder disease?

S Lejeune, N Bouazza, PR Nicaise… - Pediatric Allergy and …, 2024 - Wiley Online Library
Background It is unclear whether sensitization patterns differentiate children with severe
recurrent wheeze (SRW)/severe asthma (SA) from those with non‐severe recurrent wheeze …

Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components

P Papastamoulis - Statistics and Computing, 2020 - Springer
Recent work on overfitting Bayesian mixtures of distributions offers a powerful framework for
clustering multivariate data using a latent Gaussian model which resembles the factor …

Overfitting Bayesian mixtures of factor analyzers with an unknown number of components

P Papastamoulis - Computational Statistics & Data Analysis, 2018 - Elsevier
Recent advances on overfitting Bayesian mixture models provide a solid and straightforward
approach for inferring the underlying number of clusters and model parameters in …

A Bayesian Mixture Model Approach to Examining Neighborhood Social Determinants of Health Disparities in Endometrial Cancer Care in Massachusetts

CB Rodriguez, SM Wu, S Alimena, AJ McGregor… - arXiv preprint arXiv …, 2024 - arxiv.org
Many studies have examined social determinants of health (SDoH) factors independently,
overlooking their interconnected and intersectional nature. Our study takes a multifactorial …

Assessing Behaviour of Casino Patrons Using Clustering Methods

S Morrissette - 2021 - mspace.lib.umanitoba.ca
Research into statistical clustering techniques has grown tremendously in the past several
years due to advances in both theory and computational capability. Despite this growth …

[PDF][PDF] Parallel tempering and dimension reduction schemes for Bayesian estimation of multivariate mixture models with unknown number of components

P Papastamoulis, GR Milos - aueb.gr
Parallel tempering and dimension reduction schemes for Bayesian estimation of multivariate
mixture models with unknown number of Page 1 Parallel tempering and dimension reduction …