Hi all and welcome to module 14.
In this module, we will be extending our knowledge
of logistic regression
moving from simple logistic regression
to multiple logistic regression.
We'll be adding additional variables to our models
such as potential confounders or effect modifiers
just like we did in linear regression.
The theory behind this should feel really familiar to you
from our discussion of multiple linear regression.
The only difference being that
now we're interpreting those log odds
and odds ratios from our outcome
like we talked about in the last module.
Hopefully the lack of new content in this module
will give you plenty of time to work on the SPSS lab
because it's a long one.
This lab pulls together some of the information
that we've talked about throughout class,
so that it's not only a nice overview
of multiple logistic regression
but should also help you review
as we move towards the final exam.
As always use your classmates, me and your TA as resources
if questions arise.