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<v ->Hi all and welcome to Module 14.</v>

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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 we're now interpreting

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those log odds 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

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in this module gives you plenty of time to work

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on the SPSS Lab because it is one of the longer ones.

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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 it's not only a nice overview

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of multiple logistic regression,

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but also helps you to review

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as we move forward towards your final exam.

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As always, please use your classmates and me

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as resources as questions arise.