Statistical Sciences 2037A/B Lecture Notes - Lecture 15: False Positives And False Negatives, Mammography, Sensitivity And Specificity
31 Oct 2018
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But incorrectly diagnoses breast cancer in women who are cancer free at a rate of. E. g. you are told that the probability that an individual tests negative on a screening for lung cancer. The potential for false negatives/positives makes interpreting the diagnosis from these types of tests complicated. If a women tests positive for a mammogram, this doesn"t mean she has breast cancer. she could be showing a false positive. A woman tests positive for breast cancer, for mammograms with sensitivity of 90% and specificity of 91%. She wants to know from you whether that means that she has breast cancer for sure, or what her chances are. What is the best answer?- out of 10 women with a positive mammogram , about 1 has breast cancer. Probability the potential of events, and probability with occur tree: lists outcomes the which they.
