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A comparison of computational algorithms for the Bayesian analysis of clinical trials. [PDF]
Clin TrialsChen Z +13 more
europepmc +1 more source
Bayesian analysis of the rate of spontaneous malignant mesothelioma among BAP1 mutant mice in the absence of asbestos exposure. [PDF]
Sci RepNielsen DM +4 more
europepmc +1 more source
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Time Series Analysis, 2020
We discuss theoretical scenarios on crossover between nuclear matter (NM) and quark matter (QM). We classify various possibilities into three major scenarios according to the onset of diquark degrees of freedom that characterizes color-superconducting ...
K. Fukushima
semanticscholar +2 more sources
We discuss theoretical scenarios on crossover between nuclear matter (NM) and quark matter (QM). We classify various possibilities into three major scenarios according to the onset of diquark degrees of freedom that characterizes color-superconducting ...
K. Fukushima
semanticscholar +2 more sources
WIREs Cognitive Science, 2010
AbstractBayesian methods have garnered huge interest in cognitive science as an approach to models of cognition and perception. On the other hand, Bayesian methods for data analysis have not yet made much headway in cognitive science against the institutionalized inertia of 20th century null hypothesis significance testing (NHST).
J. Kruschke
semanticscholar +3 more sources
AbstractBayesian methods have garnered huge interest in cognitive science as an approach to models of cognition and perception. On the other hand, Bayesian methods for data analysis have not yet made much headway in cognitive science against the institutionalized inertia of 20th century null hypothesis significance testing (NHST).
J. Kruschke
semanticscholar +3 more sources
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Proceedings of the IEEE, 2016Bobak Shahriari, Nando De Freitas
exaly +2 more sources
Biometrics, 1991
As a means of assessing the importance of variation in treatment effect among patient subsets, we derived posterior distributions for subset-specific treatment effects. The effects are represented by combinations of terms for treatment and treatment-by-covariate interaction effects in familiar regression models.
Dixon, Dennis O., Simon, Richard
openaire +3 more sources
As a means of assessing the importance of variation in treatment effect among patient subsets, we derived posterior distributions for subset-specific treatment effects. The effects are represented by combinations of terms for treatment and treatment-by-covariate interaction effects in familiar regression models.
Dixon, Dennis O., Simon, Richard
openaire +3 more sources