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Hi all and welcome to module 14.

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In this module, we will
be extending our knowledge

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of logistic regression

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moving from simple logistic regression

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to multiple logistic regression.

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We'll be adding additional
variables to our models

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such as potential confounders
or effect modifiers

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just like we did in linear regression.

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The theory behind this should
feel really familiar to you

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from our discussion of
multiple linear regression.

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The only difference being that

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now we're interpreting those log odds

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and odds ratios from our outcome

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like we talked about in the last module.

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Hopefully the lack of new
content in this module

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will give you plenty of
time to work on the SPSS lab

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because it's a long one.

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This lab pulls together
some of the information

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that we've talked about throughout class,

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so that it's not only a nice overview

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of multiple logistic regression

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but should also help you review

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as we move towards the final exam.

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As always use your classmates,
me and your TA as resources

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if questions arise.