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Titlebook: Clinical Research Transformed; Olli S. Miettinen,Johann Steurer,Albert Hofman Book 2019 Springer Nature Switzerland AG 2019 epidemiology.g

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Harvesting Experts’ Diagnostic Probability Estimatesitous aspect of actual practice of clinical medicine. The probability estimates are based on ., first- and secondhand, with cases from the presentation domains they deal with. In respect to whichever one of these domains, some doctors naturally are more experienced and thereby more expert than other
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Objects Design for a Diagnostic Probability Studynostic pursuit. Next is the design of the . whose presence/absence in those cases the study will address. Then comes the design of . that will be addressed in the study, based on their priority ranking for this. The final task is specification of the . for representation of each of the included indi
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The Bayes’ Theorem Framework for Diagnostic Researchst in textbooks of medicine): that clinically-relevant knowledge generally is about particular illnesses and their respective manifestations, and that diagnosis-relevant knowledge therefore is about the relative frequencies of various case profiles in the presence (hidden) of the illness in question
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Research Focused on Diagnostic Tests signs), properties such as their ‘sensitivity’ and ‘specificity’ for the illness at issue. In a study on these properties, the frequency behavior of the ‘test’ result is compared between a series of cases of the illness and one without the illness. In the here-advocated . for diagnostic research, t
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Amir Khusro (Persian and Hindvi)ternalizing the general theory of clinical medicine (by self-study of a recent book; Sect. .) and, subordinate to this, the general theory of gnostic clinical research that provides the knowledge-base for genuinely scientific medicine (cf. Sect. .). We provide here a ., ones that are preparatory to study specific to gnostic clinical research.
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