The Weight of Evidence

2021 ◽  
pp. 249-264
Author(s):  
Andrew C. A. Elliott

Courts of law must weigh evidence to determine the likelihood of competing interpretations of past events, and different legal contexts require different standards of proof, but this falls short of a quantification of probability. Bayes’s theorem and the associated formula provide a way of combining multiple elements of evidence and using them to refine prior assessments of probability. The prosecutor’s fallacy involves an incorrect reversal of the logic of evidence. The ecological fallacy involves incorrectly attributing proportions derived from large groups to smaller groups or individuals.

Biometrika ◽  
1962 ◽  
Vol 49 (3/4) ◽  
pp. 419 ◽  
Author(s):  
G. E. P. Box ◽  
G. C. Tiao

2021 ◽  
pp. 1-4
Author(s):  
Konstantinos Modis

1979 ◽  
Vol 25 (6) ◽  
pp. 985-988 ◽  
Author(s):  
H J van der Helm ◽  
E A Hische

Abstract The diagnostic implication of a certain test result with regard to a certain condition can be expressed as a single number, L, the likelihood ratio of this result. This ratio allows Bayes's theorem to be written in a convenient form. We show that the practice of calculating predictive values for the results of quantitative tests by use of discrimination limits leads to incorrect predictive values. Including L values in laboratory reports seems a more logical approach to optimum interpretation of laboratory results than the use of discrimination values.


1980 ◽  
Vol 38 (1) ◽  
pp. 105-106 ◽  
Author(s):  
David Raynor

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