SAR HS 300 Lecture Notes - Lecture 5: Breast Cancer Screening, Pap Test, Colorectal Cancer
21 Mar 2019
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Accuracy: degree of agreement between screening test results and gold standard (a+d) / (a+b+c+d) Positive predictive value: proportion of individuals screened positive by test and have the disease: a / (a+b) Negative predictive value: proportion of people screened negative and do not have the disease: d / (c+d) Pv (+): among screened population ___% of those who tested positive for *disease* by ___ test actually have *disease* Among screened population when a person screens positive there is a ___% probability that they have *disease* Pv(-): among screened population ___% of those who tested negative for *disease* by ___ test actually do not have *disease* Among screened population when a person screens negative there is a ___% probability that they do not have. After sensitivity and specificity of a screening test is attained: the pv is the main way to measure screening programs feasibility. Effect of false positives and false negatives on a screened population.
