Multinomial logistic regression, Part 2: Multiple multinomial regression

This video discusses multinomial logistic regression models with more than one explanatory variable. It shows how the results can be interpreted either as odds ratios or predicted probabilities. It also introduces principles of model selection, including the use of Wald-tests and likelihood ratio tests.

This video is part of NCRM Online Resource on Multinominal logistic regression by Dr Heini Väisänen. To view the resource (which includes, slides, worksheet, data and reading list) visit https://www.ncrm.ac.uk/resources/online/

Please note: we may be unable to respond to individual questions on this video.


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