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 Categorical variables in binary logistic regressio
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CEversole

5 Posts

Posted - 06/25/2021 :  1:44:06 PM  Show Profile  Edit Topic  Reply with Quote  View user's IP address  Delete Topic
I recently ran a binary logistic regression in which some variables are continuous and others are binary. When looking at the output associated with each category of the categorical variables, I see that Origin does not provide results associated with each category. In other words, it has included data for some categories (e.g., coefficients, SE, Wald test, p-value), but has completely omitted other categories from the output. Is there any explanation as to why some categories are completely omitted/left out??

Any help is greatly appreciated.

YimingChen

1685 Posts

Posted - 06/25/2021 :  1:56:58 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Can you attach a screenshot showing the issue?

James
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CEversole

5 Posts

Posted - 06/25/2021 :  2:24:00 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
As you will see in this screen shot, the year "2013" (one of the categories in the "year" variable) is omitted in the results output; however, it is included in the input data set. Thank you.

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CEversole

5 Posts

Posted - 06/25/2021 :  2:38:16 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
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YimingChen

1685 Posts

Posted - 06/25/2021 :  3:37:52 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
You must set year "2013" as reference factor level in the dialog. The fitted coefficients of all other years are referencing to 2013.

James
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CEversole

5 Posts

Posted - 06/25/2021 :  3:56:07 PM  Show Profile  Edit Reply  Reply with Quote  View user's IP address  Delete Reply
Ok, yes, I've done that (see attached). How do I get the results associated with 2013 when it is set as a reference factor? When 2013 is used as the reference factor level, its not included in the results output (as in my previous post). Thank you for any information.
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