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- W2289119025 abstract "The process of identifying conditions of interest in a set of data is inherently probabilistic, since the established criteria for such conditions are imperfect, i.e., only rarely have both 100% sensitivity and 100% specificity. Some data are directly relevant to the phenomenon of interest, i.e., if the supporting data are positive, one can infer that this phenomenon is likely to be present. Other types of data are indirectly relevant to the phenomenon of interest. These data constitute background information that help provide the overall context in which the directly relevant data are interpreted. The principles of conditional probability emphasize the use of such background, contextual information in evaluating data. Using the principles of conditional probability can significantly improve the accuracy of conclusions based on the analysis of the available data." @default.
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- W2289119025 date "2016-01-01" @default.
- W2289119025 modified "2023-09-24" @default.
- W2289119025 title "The Importance of Conditional Probability" @default.
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