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In relation with my other question here where I observe a strange behavior of the residuals after fitting binary data using glm/glmer, I now wonder:

Are there boundaries on the proportion of 0 (or 1) necessary in order to be able to regress binary data? If there are too many 1 compared to the 0 or conversely, does it prevent attempts of modeling?

Cheers

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There are no hard limits aside from the fact that your data can't be 100% one class. It is true, however, that the less balanced your classes are, the harder it is to learn to distinguish them.

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  • $\begingroup$ Thank you for your answer. Would you happen to know what could cause the residuals to be biased and not have a null mean ? $\endgroup$
    – Tom Bug
    May 30, 2016 at 0:56

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