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Screening Tests

by Raywat Deonandan, PhD
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      Slides 14 ScreeningTests Epidemiology.pdf
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    Hello and welcome to epidemiology. Are you a medical student or a doctor or some other kind of clinician or maybe a health scientist of some kind? Either way you probably know that by the time a patient comes to see you and is showing symptoms, they've already have a disease state that has gone beyond a certain progression and it would have been nice probably to have been able to detect them before there is symptomatic. But how do you identify a potential patient before they're showing symptoms? That's why we have screening tests, you probably know about screening tests. Screening tests are things like taking people's blood pressures in the mall, or even digital rectal exams or Pap smears in the office. These are kinds of tests we do to identify people for a later investigation. So in this lecture we are going to learn some things about how to assess the qualities of screening tests, epidemiologically. You're going to lo learn how to set up a contingency table, that's how we put our numbers together to compute the appropriate indicators for the quality of a screening test. You're going to be able to compute and interpret certain functions of a screening test, in particular, the sensitivity and specificity. You've probably already heard of those terms, probably from reading the descriptions of tests, like a pregnancy test on the side of the box, that has numbers relating to its sensitivity and specificity. You'll be able to compute and interpret the positive predictive value and the negative predictive value of a test. And also you will be able to compute and interpret this thing we called the likelihood ratio. So screening tests are meant to identify individuals who are probably in the early stages of disease and that allows...

    About the Lecture

    The lecture Screening Tests by Raywat Deonandan, PhD is from the course Screening Tests. It contains the following chapters:

    • Screening Tests
    • Sensitivity and Specificity
    • False Positives, False Negatives
    • Likelihood Ratio
    • Learning Outcomes

    Included Quiz Questions

    1. 85%
    2. 75%
    3. 90%
    4. 80%
    1. 76%
    2. 85%
    3. 91%
    4. 81%
    1. 2%
    2. 98%
    3. 12%
    4. 20%
    5. 0.2%
    1. Specificity
    2. Sensitivity
    3. Prevalence

    Author of lecture Screening Tests

     Raywat Deonandan, PhD

    Raywat Deonandan, PhD


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