Epidemiology Exam - Assessment of Diagnostic Studies:
Sensitivity and Specificity With complete solution–Expert
Verified | Latest Questions 2025
Sensitivity - Probability of a positive test in diseased patients.
Specificity - Probability of a negative test in non-diseased patients.
True Positive (TP) - Correctly identified cases with the disease.
True Negative (TN) - Correctly identified cases without the disease.
False Positive (FP) - Incorrectly identified cases as having the disease.
False Negative (FN) - Incorrectly identified cases as not having the disease.
Positive Predictive Value (PPV) - TP divided by total positive test results.
Negative Predictive Value (NPV) - TN divided by total negative test results.
Prevalence - Total cases of disease in the population.
Cutoff Value - Threshold determining positive or negative test results.
Sensitivity and Specificity With complete solution–Expert
Verified | Latest Questions 2025
Sensitivity - Probability of a positive test in diseased patients.
Specificity - Probability of a negative test in non-diseased patients.
True Positive (TP) - Correctly identified cases with the disease.
True Negative (TN) - Correctly identified cases without the disease.
False Positive (FP) - Incorrectly identified cases as having the disease.
False Negative (FN) - Incorrectly identified cases as not having the disease.
Positive Predictive Value (PPV) - TP divided by total positive test results.
Negative Predictive Value (NPV) - TN divided by total negative test results.
Prevalence - Total cases of disease in the population.
Cutoff Value - Threshold determining positive or negative test results.