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Hi again, and welcome to Module 8.

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In the last module, we talked about simple

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and multiple linear regression,

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which we use to control
for multiple confounders

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when we are looking at
that primary association

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between our exposure and
our outcome of interest.

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In this module, we're going
to take a bit of a step back

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and focus on interpretation of the results

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of multiple linear regression

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in the public health literature.

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This is a key learning objective
and skill for this class

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because we want you
all to come out of this

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becoming a critical consumer

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of the public health literature,
and believe it or not,

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not every study that gets
published is a good study.

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So being able to read the
method sections critically

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is really important.

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For those of you who end up going on

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to different areas of public health

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and don't end up really taking a deep dive

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into biostats and epi beyond this class,

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this is the key skill
that we really want you

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to leave this course with.

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Dr. Harder splits her lecture
in this module into two parts.

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In the first part, she
goes over an explanation

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of how to interpret beta coefficients

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from multiple linear regression,

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which should be a great refresher

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from the last module and
help you on your lab.

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In the second half, she
walks through reading

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and interpreting the results
from published literature

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using multiple linear regression.

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She gives a really nice script

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for how you should interpret results.

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I know it's tempting to wanna get creative

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when you're interpreting
findings, but in this situation,

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I would really like you to
just follow that script.

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It tells you exactly how to
correctly interpret the results

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including all of the
information that you need

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to give your reader in order for them

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to fully understand what's being written.

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Please pay good attention
to what Dr. Harder says

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with regards to her interpretation,

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how she phrases them

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and use that same approach in your labs.

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If you have any questions,
please reach out.

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We'll talk soon.