Bayesian Analysis of Two-Component Mixture Distributions Applied to Estimating Malaria Attributable Fractions

DOI10.1111/1467-9876.00129zbMath0911.62111OpenAlexW2048478401WikidataQ57176594 ScholiaQ57176594MaRDI QIDQ4224623

Penelope Vounatsou, Thomas A. Smith, Adrian F. M. Smith

Publication date: 10 May 1999

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00129

zbMATH Keywords

malariaMarkov chain Monte Carlo simulationmixture decompositionattributable fractions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20)

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A two-component nonparametric mixture model with stochastic dominance ⋮ Bayesian estimation of parameters of mixed geometric failure models from Type I group censored sample ⋮ Semiparametric modelling of two-component mixtures with stochastic dominance ⋮ Hypothesis Testing in a Mixture Case-Control Model ⋮ A Semiparametric Two‐Component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions ⋮ FINITE MIXTURE OF CERTAIN DISTRIBUTIONS ⋮ Estimating the Malaria Attributable Fever Fraction Accounting for Parasites Being Killed by Fever and Measurement Error ⋮ Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions ⋮ Maximum multinomial likelihood estimation in compound mixture model with application to malaria study

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