A New Approach for Quantifying Uncertainty in Epidemiology

Elart von Collani
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Elart von Collani: Professor von Collani wrote this chapter while at University of Würzburg Sanderring 2

A chapter in Statistical Modeling for Biological Systems, 2020, pp 297-309 from Springer

Abstract: Abstract Epidemiology is the branch of science on which public health research is founded. This essay shall review some of the principles underlying current methodology, revealing some ambiguities and inconsistencies. A new approach is proposed, the Bernoulli space, which is a complete model of uncertainty in a given situation. Each part of the model is necessary and the entire model is sufficient for describing all relevant parts of uncertainty. Using the Bernoulli space two aims are achieved: (1) Reliable and accurate predictions are obtained as basis for the decision-making process; (2) A unique interpretation of the obtained experimental results is obtained.

Keywords: Epidemiology; Inference (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-34675-1_17

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DOI: 10.1007/978-3-030-34675-1_17

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