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Dear Douglas,


Thank you for your guidance.


I am following-up on your response with regards to setting up DODS
matrix to test interaction between two continous covariates. If I
understand your recommendation correctly (please correct me if I am
wrong), I am averegaing slopes for the new interaction covairate
(age*weight), while regressing out slope estimates for age and weight.
I am curious to know why regressing out the two original covariates is
recommended.


Thanks for your time!


David

_____________________________________________


You need to put in age, weight, AND age*weight. If you have two classes and
use DODS, then the contrast would be

0 0 0 0 0 0 0.5 0.5

On 4/13/18 8:02 PM, David S Lee wrote:

Hi Douglas,

Thank you for your reply.


To follow up, I am setting up GLM analysis with 1 categorical variable and
1 continuous variable (age X weight). Myfsgd looks like this:

/GroupDescriptorFile 1/
/Title Cortical Thickness Interaction between Age and Weight/
/Class class1 plus blue/
/Class class2 circle green/
/Variable           Demean Age X Demean Weight/
/Input001Class1500/
/Input002Class2433/
/.../


I want to test for an interaction between age and weight while controlling
forgroup. Instead ofputting-inage and weight separately, I multiply them to
test for interaction. Can you tell me if following contrast vector will
correctly test for this?

/0 0 0.5 0.5/
/
/
Thank you for your time,
/
/
--
David S. Lee
Associate Research Specialist
Center for Healthy Minds
University of Wisconsin - Madison
(608) 890-1115 <tel:%28608%29%20890-1115>


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