Sponsored Links
Bayesian Analysis Model
Enter PREVALENCE, SENSITIVITY, and SPECIFICITY:
PREV: SENS: SPEC:
Or enter TP, FN, TN, and FP:
   Disease No Disease
Positive Test  TP: FP:
Negative Test FN: TN:
  
Positive Predictive Value =
Negative Predictive Value =
Positive Likelihood Ratio =  Pre-test Probability =  (prevalence)
Negative Likelihood Ratio =  Post-test Probability =
Remember: Sensitivity = TP / (TP+FN)
Specificity = TN / (FP+TN)
Prevalence = (TP+FN) / (TP+FN+FP+TN)
Predictive value positive = TP / (TP+FP)
Predictive value negative = TN / (FN+TN)
Positive Likelihood Ratio = SENS / (1-SPEC)
Negative Likelihood Ratio = (1-SENS) / SPEC
Pre-test Probability = Prevalence
Pre-test Odds = Pre-test Prob / (1 - Pre-test Prob)
Post-test Odds = Pre-test Odds x Likelihood Ratio
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.