Bayesian statistics in anesthesia practice: a tutorial for anesthesiologists
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DOI: 10.1007/s00540-022-03044-9
Abstract: This narrative review intends to provide the anesthesiologist with the basic knowledge of the Bayesian concepts and should be considered as a tutorial for anesthesiologists in the concept of Bayesian statistics. The Bayesian approach represents… read more here.
Keywords: statistics anesthesia; tutorial anesthesiologists; bayesian statistics; practice tutorial ... See more keywords
A perceived paucity of quantitative studies in the modern era of voltammetry: prospects for parameterisation of complex reactions in Bayesian and machine learning frameworks
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DOI: 10.1007/s10008-020-04639-6
Abstract: When Fritz Scholz asked me to write an opinion article on ‘Future tasks of electrochemical research’, on a topic of my choice, he also asked me to address the questions: ‘What needs to be done… read more here.
Keywords: bayesian statistics; research; data analysis; analysis ... See more keywords
Challenges and Opportunities for Bayesian Statistics in Proteomics
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DOI: 10.1021/acs.jproteome.1c00859
Abstract: Proteomics is a data-rich science with complex experimental designs and an intricate measurement process. To obtain insights from the large data sets produced, statistical methods, including machine learning, are routinely applied. For a quantity of… read more here.
Keywords: challenges opportunities; methodology; framework; bayesian statistics ... See more keywords
Introduction to the Special Issue on Bayesian Statistics in Evaluation and Policy
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DOI: 10.1177/0193841x20987014
Abstract: This special issue of Evaluation Review presents applications of Bayesian statistical methods to evaluation and policy issues. The articles span a range of issues and novel methods for improving research. We begin the issue, however,… read more here.
Keywords: issue; bayesian statistics; evaluation; special issue ... See more keywords
Applied Bayesian Approaches for Research in Motor Neuron Disease
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DOI: 10.3389/fneur.2022.796777
Abstract: Statistical evaluation of empirical data is the basis of the modern scientific method. Available tools include various hypothesis tests for specific data structures, as well as methods that are used to quantify the uncertainty of… read more here.
Keywords: applied bayesian; hypothesis; bayesian statistics; bayesian approaches ... See more keywords