A Hierarchical Bayesian Model to Predict the Duration of Immunity to Haemophilus Influenzas Type B

DOI10.1111/j.0006-341X.1999.01306.xzbMath1059.62616WikidataQ52065182 ScholiaQ52065182MaRDI QIDQ4668358

Kari Auranen, Helena Käyhty, Aino K. Takala, Elja Arjas, M. Eichner

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

Bayesian estimationMarkov chain Monte Carlo simulationlatent datahierarchical growth curve modelssubclinical infection with Haemophilus influencze type b

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Bayesian Inference on Protective Antibody Levels Using Case‐Control Data ⋮ The structural identifiability and parameter estimation of a multispecies model for the transmission of mastitis in dairy cows with postmilking teat disinfection

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
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• Markov chains for exploring posterior distributions. (With discussion)
• Practical Markov Chain Monte Carlo

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