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Empirical bayes for group (Dcm) studies: A reproducibility study
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نویسنده
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litvak v. ,garrido m. ,zeidman p. ,friston k.
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منبع
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frontiers in human neuroscience - 2015 - دوره : 9 - شماره : DEC
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چکیده
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This technical note addresses some key reproducibility issues in the dynamic causal modelling of group studies of event related potentials. specifically,we address the reproducibility of bayesian model comparison (and inferences about model parameters) from three important perspectives namely: (i) reproducibility with independent data (obtained by averaging over odd and even trials); (ii) reproducibility over formally distinct models (namely,classic erp and canonical microcircuit or cmc models); and (iii) reproducibility over inversion schemes (inversion of the grand average and estimation of group effects using empirical bayes). our hope was to illustrate the degree of reproducibility one can expect from dcm when analysing different data,under different models with different analyses. © 2015 litvak,garrido,zeidman and friston.
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کلیدواژه
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Bayesian model reduction; Dynamic causal modelling; Empirical Bayes; Fixed effects; Random effects; Reproducibility
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آدرس
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the wellcome trust centre for neuroimaging,university college london,institute of neurology,london, United Kingdom, queensland brain institute and centre for advanced imaging,the university of queensland,brisbane,qld, Australia, the wellcome trust centre for neuroimaging,university college london,institute of neurology,london, United Kingdom, the wellcome trust centre for neuroimaging,university college london,institute of neurology,london, United Kingdom
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Authors
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