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Baysean Analysis

Bayesian Analysis Model

Input

Enter PREVALENCE, SENSITIVITY, and SPECIFICITY:

OR

Enter TP, FN, TN, and FP:

Disease

Positive Test TP:
Negative Test FN:

No Disease

Positive Test FP:
Negative Test TN:

Result

Positive Likelihood Ratio =
Pre-test Probability = (prevalence)
Negative Likelihood Ratio =
Post-test Probability =

Remember

  1. Sensitivity = TP / (TP+FN)
  2. Specificity = TN / (FP+TN)
  3. Prevalence = (TP+FN) / (TP+FN+FP+TN)
  4. Predictive value positive = TP / (TP+FP)
  5. Predictive value negative = TN / (FN+TN)
  6. Positive Likelihood Ratio = SENS / (1-SPEC)
  7. Negative Likelihood Ratio = (1-SENS) / SPEC
  8. Pre-test Probability = Prevalence
  9. Pre-test Odds = Pre-test Prob / (1 - Pre-test Prob)
  10. Post-test Odds = Pre-test Odds x Likelihood Ratio
  11. Post-test Probability = Post-test Odds / (1 + Post-test Odds)

DISCLAIMER

DISCLAIMER: All calculations must be confirmed before use. The authors make no claims of the accuracy of the information contained herein; and these suggested doses are not a substitute for clinical judgement. Neither ValueMD nor any other party involved in the preparation or publication of this site shall be liable for any special, consequential, or exemplary damages resulting in whole or part from any user's use of or reliance upon this material.


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