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Statistical Biases: Information, Response, Reporting & Detection Bias

by Raywat Deonandan, PhD
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    Hello and welcome back to epidemiology. We've already talked a little bit about bias, in particular selection bias, but in this lecture you're going to learn a little bit more about different kinds of biases, in particular common types of information bias, which is another kind of bias we encounter quite commonly in a large range of epidemiological studies. You're also going to be able to identify response, reporting and detection biases. Detection bias is my personal favorite; I encounter it all the time. So you've seen this chart before, we've already covered selection bias, but right now we're going to go knee deep into information bias. Information bias is while we have a systematic error in measurement, you could be measuring anything, it doesn't have to be something quantifiable, it could be something qualitative as well. So again, information bias is while we have a systematic error in measurements, in other words, the means of obtaining information about your subjects might be either inadequate or entirely incorrect. There are a host of different kinds of information biases, misclassification, recall, interviewer, etc. We're not going to cover all of those, just the key ones that you'll probably encounter. So one of the most important aspects of information bias is misclassification bias, that's when the actual records might be wrong. Many epidemiological investigations use medical records, we'll look back to see how diagnoses were made, we'll look at government registries to see the prevalence of a variety of diseases, so sometimes those records are simply wrong. So misclassification is a type of information bias, it's when some people have the disease or maybe they're labelled as not having the disease or vice versa. As an example, let's say we're trying to compute the prevalence of menopause suffers in some population, but...

    About the Lecture

    The lecture Statistical Biases: Information, Response, Reporting & Detection Bias by Raywat Deonandan, PhD is from the course Statistical Biases. It contains the following chapters:

    • Statistical Biases: Information, Response, Reporting & Detection Bias
    • Misclassification Bias
    • Response Bias
    • Detection Bias
    • Learning Outcomes

    Included Quiz Questions

    1. Failing to reject the null hypothesis
    2. Rejecting the null hypothesis
    1. Non-differential misclassification bias
    2. Differential misclassification bias

    Author of lecture Statistical Biases: Information, Response, Reporting & Detection Bias

     Raywat Deonandan, PhD

    Raywat Deonandan, PhD


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