Inference for serological surveys investigating past exposures to infections resulting in long-lasting immunity – an approach using finite mixture models with concomitant information

DOI10.1080/02664763.2012.722608OpenAlexW2062025452MaRDI QIDQ5127115

Irina Chiş-Şter

Publication date: 21 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2012.722608

zbMATH Keywords

Bayesian inferenceage-dependent prevalencefinite mixtures with concomitant informationmillennium cohort studyMuench's catalytic modeloral fluidvaricella zoster virus

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Spike and slab variable selection: frequentist and Bayesian strategies
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Estimation of the Basic Reproduction Number for Infectious Diseases from Age-Stratified Serological Survey Data
• Infections with Varying Contact Rates: Application to Varicella
• Inference and missing data
• Weighting for Unequal Selection Probabilities in Multilevel Models
• Finite Mixture Models with Concomitant Information: Assessing Diagnostic Criteria for Diabetes
• Bayesian Analysis of Binary Survey Data
• Analysis of Survey Data
• Concomitant variables in finite mixture models
• Dealing With Label Switching in Mixture Models
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• Bayesian Measures of Model Complexity and Fit
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• A review of Bayesian variable selection methods: what, how and which
• Deviance information criteria for missing data models

This page was built for publication: Inference for serological surveys investigating past exposures to infections resulting in long-lasting immunity – an approach using finite mixture models with concomitant information