Also, some general aspects of hypothesis testing and statisticalinference are discussed.
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In general, model selection is an important prelude to subsequent statisticalinference.
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Our method is especially appealing for statisticalinference in these complex setups.
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Conducting genetic pathway analysis and statisticalinference in such settings is challenging.
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Nonstationary FWHM and its effect on statisticalinference of fMRI data.
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What the part can tell us about the whole is the subject of statisticalinference.
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His research interests included consumer demand, utility, risk, econometric theory, statisticalinference and extreme value theory.
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A numerical efficient way to perform both the estimation as well as the statisticalinference will be presented.
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Recent tools from population pharmacokinetics, Bayesian statisticalinference, and physiological modeling can be brought together to solve these problems.
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Because of the complex dependence structure inherent in networks, missing data can pose very difficult problems for valid statisticalinference.
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When methods from probability theory and mathematical statistics are directly applied in this procedure it is also called statisticalinference.
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We demonstrated rigorous statisticalinference, established reproducibility through simulations and the ability to recover receptor status from available microarray data.
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Mathematical model-based statisticalinference applied to within-host dynamics of infectious diseases can help dissect complex interactions between hosts and microbes.
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Meta-analysis was performed using Bayesian statisticalinference and reported using Meta-analysis of Observational Studies in Epidemiology (MOOSE) guideline.
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In a massively univariate analysis of brain image data, statisticalinference is typically based on intensity or spatial extent of signals.
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Specifically, the integration of self-organizing map (SOM) and singular value decomposition allows genome-wide selection on sound foundations of statisticalinference.