Introduction to Generalized Linear Models (logistic regression example)

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The purpose of a generalized linear model, how to specify it, specific logistic regression example, interpretation of coefficients in logistic regression.
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Thanks for your presentation. Please in the case we use ordinal logit, should we report pearson correlation and omnibus test value? if it is the case, how to interpret them (for exemple, under or above p value, what it is the meaning). Also shoud we consider the sig level from the table 'Test of model effect' or 'Parameter Estimates' table to say that a relationship between the predictor and outcome variable is significant. I am really looking for ways to interpret, your answer will really help me. thanks.

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