Modeling individual migraine severity with autoregressive ordered probit models
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Publication:261572
DOI10.1007/s10260-010-0154-8zbMath1333.62271OpenAlexW2113776882MaRDI QIDQ261572
Claudia Czado, Anette Heyn, Gernot J. Müller
Publication date: 24 March 2016
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: http://mediatum.ub.tum.de/doc/1079269/document.pdf
Bayes factorregressionMarkov chain Monte Carlo (MCMC)devianceordinal valued time seriesproportional odds
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)
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