Hi again, and welcome to Module 8.
In the last module, we talked about simple
and multiple linear regression,
which we use to control for multiple confounders
when we are looking at that primary association
between our exposure and our outcome of interest.
In this module, we're going to take a bit of a step back
and focus on interpretation of the results
of multiple linear regression
in the public health literature.
This is a key learning objective and skill for this class
because we want you all to come out of this
becoming a critical consumer
of the public health literature, and believe it or not,
not every study that gets published is a good study.
So being able to read the method sections critically
is really important.
For those of you who end up going on
to different areas of public health
and don't end up really taking a deep dive
into biostats and epi beyond this class,
this is the key skill that we really want you
to leave this course with.
Dr. Harder splits her lecture in this module into two parts.
In the first part, she goes over an explanation
of how to interpret beta coefficients
from multiple linear regression,
which should be a great refresher
from the last module and help you on your lab.
In the second half, she walks through reading
and interpreting the results from published literature
using multiple linear regression.
She gives a really nice script
for how you should interpret results.
I know it's tempting to wanna get creative
when you're interpreting findings, but in this situation,
I would really like you to just follow that script.
It tells you exactly how to correctly interpret the results
including all of the information that you need
to give your reader in order for them
to fully understand what's being written.
Please pay good attention to what Dr. Harder says
with regards to her interpretation,
how she phrases them
and use that same approach in your labs.
If you have any questions, please reach out.
We'll talk soon.