A generalized mixture model applied to diabetes incidence data
DOI10.1002/bimj.201600086zbMath1369.62310OpenAlexW2598251977WikidataQ36315810 ScholiaQ36315810MaRDI QIDQ5280198
Daiane Aparecida Zuanetti, Luis Aparecido Milan
Publication date: 20 July 2017
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201600086
longitudinal datamixture modelsparameters estimatesMarkov chain Monte Carlo (MCMC) procedurediabetes incidencedata-driven reversible jump
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical analysis or methods applied to Markov chains (65C40)
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