Question: Sensitivity Of A Screening Test Is The Probability That It Gives A Positive Test Result Given That The Patient Has The Dia/(a+c)) Specificity Of A Screening Test Is The Probability That It Gives A Negative Test Result Giren That The Patient Does Not Are The Disease (d/b+d)} Positive Predictive Valus Is The Probability That A Patient Has The Disease …

Sensitivity of a screening test is the probability that it gives a positive test result given that the patient has the dia/(a+c)) Specificity of a screening test is the probability that it gives a negative test result giren that the patient does not are the disease (d/b+d)} Positive predictive valus is the probability that a patient has the disease given a positive strening test result {a/(a+b)) Nettive predictive value is the probability that a patient does not have the disease given a negative screening text wid/c+d)) Now answer the following Part I. Consider the following scenario: Gold standard: surgical biopsy. Total Cancer present Cancer absent Screening test: fine needle aspiration cytology (ENAC Positive a = 14 b= 8 (a + b) = 22 Negative c=1 d = 91 (c = d) – 92 Total (a + c) = 15 (b + d) = 99 (a+b+c+d) = 114 Calculate the sensitivity, specificity, positive predictive value and negative predictive value of the screening test (INA) Sensitivity: Specificity Positive predictive value Negative predictive value: Part. II. Desirable properties of a diagnostic screening test are high sensitivity and at the same time high specificity. This is usually not possible. In general, as sensitivity increases, specificity decreases, and nena. A highly sensitive test usually has a higher number of false positives and a highly specific test usually has a higher number of false negatives. Keeping this in mind, 1. When would you prefer a diagnostic test with high sensitivity? 2. When would you prefer a diagnostic test with high specificity? Sensitivity of a screening test is the probability that it gives it positive best real given tar de patient has the dies (/(a+c)). Specificity of a screening test is the probability that it gives a negative test real goes that the patient des mot have the imar (d/(b+d)) Positive predictive value is the probability that a patient bar the distair given a positive termening dat ons {a/(a+b) Negative predictive value is the probability that a patient does not have the distese poena negative operating destrull fd/{c+d)) Now answer the following Part 1. Consider the following scenarios Gold standard surgical biopsy Total Cancer present Cancer absent Screening test: fine needle aspiration cytologs (FNAC Positive a 14 b=8 (a+b) – 22 Negative C1 d = 91 (c = d) = 92 Total (a + c) 15 (b + d)=99 (a+b+c) – 114 Calculate the sensitivity, specificity, positive predictive value and negative predictive value of the screening test (FNAC). Sensitivity Specificity: Positive predictive value Negative predictive value Pan II. Desirable properties of diagnostic screening test are high scnsitivity and at the same time high specificity. This is usually not powble. In general, as sensitivity increases, specificity decreases, and more highly sensitive testly has a higher number of false positives and a highly specific test usually has higher number of false negatives. Keeping this in mind, 1. When would you prefer a diagnostic test with high sensitivity? 2. When would you prefer diagnostic tear with high specificity MacBook Pro