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.