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    How to interpret the odds ratio (exp(b)) with a continuous dependent variable?

    Thanks a lot, this helps already to understand it a Little bit better, but your dependent variable is categorical and mine is continuous :/ do you know how to Interpret the exp(b) if the dependent and the Independent variables are continuous? Thanks!
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    How to interpret the odds ratio (exp(b)) with a continuous dependent variable?

    Yes exactly the dependent variable is a continuous variable (total number of infarcts per person) and the independent variable is sometimes categorical (e.g. hypertension yes vs. no: does the person has hypertension or not) and sometimes continuous as well (e.g. age of the participant) Thanks a...
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    How to interpret the odds ratio (exp(b)) with a continuous dependent variable?

    Yes exactly the dependent variable is a continuous variable (total number of infarcts per person) and the independent variable is sometimes categorical (e.g. hypertension yes vs. no: does the person has hypertension or not) and sometimes continuous as well (e.g. age of the participant)
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    How to interpret the odds ratio (exp(b)) with a continuous dependent variable?

    No with Generalized linear model. How should I interpret the Exp(B) in the output?
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    How to interpret the odds ratio (exp(b)) with a continuous dependent variable?

    I have applied a generalized linear model with odds ratio (OR) and 95% confidence interval (CI) in order to determine the association between the total number of infarcts with cardiovascular risk factors How I should interpret the OR with a continuous dependent variable?