Binary, Ordinal, and Multinomial Logistic Regression for Categorical Outcomes

by Karen

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Ever discover that your data are not normally distributed, no matter what transformation you try? It may be that they follow another distribution altogether. During this teleseminar, Karen Grace-Martin explained

  • how these regression models differ from Ordinary Linear Regression
  • the type of data for which each is appropriate
  • how to interpret the coefficients and odds ratios from each

This webinar has already taken place. You can gain free access to a video recording of the webinar by completing the form below.

 

{ 8 comments… read them below or add one }

tilahu eshetu September 8, 2016 at 8:37 am

vedios

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Ahmad June 26, 2016 at 10:42 am

I like the clear, concise and straight-forward way you have adopted to explain the material. Definitely would like to hear more from you.

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Mijeom Joe August 31, 2015 at 12:59 am

I’d like to learn some examples of Logistic regression.

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SANTHI August 10, 2013 at 5:08 am

explanations given are very lucid and apt. Thank you

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Karen September 5, 2013 at 4:49 pm

Thanks, Santhi!

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Lee Blazejewski April 25, 2012 at 6:20 pm

Thank you

Reply

CD April 20, 2012 at 8:03 pm

Thank you.

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Joyce Robinson October 17, 2011 at 12:10 pm

Thank you.

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Please note that Karen receives hundreds of comments at The Analysis Factor website each week. Since Karen is also busy teaching workshops, consulting with clients, and running a membership program, she seldom has time to respond to these comments anymore. If you have a question to which you need a timely response, please check out our low-cost monthly membership program, or sign-up for a quick question consultation.

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