Binary, Ordinal, and Multinomial Logistic Regression for Categorical Outcomes

by Karen


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.

Statistically Speaking members can access this recording from the Analysis Toolbox Resources page at the Programs Center without signing up.


{ 10 comments… read them below or add one }

Mukund August 10, 2017 at 2:06 am

OK. I want to go through the Webinar videos.


ming August 3, 2017 at 8:02 am

how to compute adjusted odds ratio in logistic regression with stata ?


tilahu eshetu September 8, 2016 at 8:37 am



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.


Mijeom Joe August 31, 2015 at 12:59 am

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


SANTHI August 10, 2013 at 5:08 am

explanations given are very lucid and apt. Thank you


Karen September 5, 2013 at 4:49 pm

Thanks, Santhi!


Lee Blazejewski April 25, 2012 at 6:20 pm

Thank you


CD April 20, 2012 at 8:03 pm

Thank you.


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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