Bayes Theorem Calculator
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Bayes' theorem also called as Bayes' law or Baye's rule was stated by Reverend Thomas Bayes. The theorem tries to bring an association between the theory and evidence by finding the relation between the past probability to current probability of the event.

Bayesian Calculation

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Bayes' theorem also called as Bayes' law or Baye's rule was stated by Reverend Thomas Bayes. The theorem tries to bring an association between the theory and evidence by finding the relation between the past probability to current probability of the event.

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Formulas:

Sensitivity = TP / ( TP + FN ) Specificity = TN / ( FP + TN ) Predictive Value Positive = TP / ( TP + FP ) Predictive Value Negative = TN / ( FN + TN ) Positive Likelihood = Sensitivity / ( 1 - Specificity ) Negative Likelihood = ( 1 - Sensitivity ) / Specificity Where, TP = True Positive. FP = False Positive. FN = False Negative. TN = True Negative

This theorem is used in fields like drug testing, data mining and various other fields. Sir Harold Jeffreys put wrote that Bayes' theorem is to the theory of probability what Pythagoras's theorem is to geometry.


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