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Level 1 interaction in a logistic regression model

By Louis Delamarre | Feb 06, 2018 06:16PM CET

Hello.
I'm currently using Xlstat to realize a logistic multivariate model (including continuous quantitative and qualitative data, both ordinal and binary) to study how risk factors are predictive of a disease.
I'd like, to be methodologically rigorous, the level 1 interactions in my model. I selected this option in the box in the "options" page, but I can't see any table in the results provided by Xlstat on the analysis of these interactions.
Where should they be displayed? How can I access it to decide if i can remove them or not ?

Thanks for your help.

Regards,
Louis

Best Answer
By Sébastien | Feb 06, 2018 06:38PM CET | XLSTAT Agent

Dear Louis,

Thank you for your question.
Global interaction effects are visible in the Type II table analysis. They can also be investigated in detail in the coefficients table.

Let us know if you need anything else.

Best regards,

Jean Paul


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By Sébastien | Feb 06, 2018 06:38PM CET | XLSTAT Agent

Dear Louis,

Thank you for your question.
Global interaction effects are visible in the Type II table analysis. They can also be investigated in detail in the coefficients table.

Let us know if you need anything else.

Best regards,

Jean Paul

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By Louis Delamarre | Feb 07, 2018 07:32AM CET

Thank You Jean Paul for your answer.

I need a little more help to interpret those elements.

The global effects of these level 1 Interactions can be seen in Type II analysis Table: can you explain me how to interpret the results provided in this table ?

I also need to assess the individual effect of these interactions (var1*var2, Var1*var3, var2*var3...). Where can i see corresponding results in the coefficients table ?

Thanks.
I can provide a sheet of my data if it can help.

Best,
Louis

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By Efthalia | Feb 12, 2018 11:07AM CET | XLSTAT Agent

Dear Louis,

There are two tests available for assessing the significances of the global effects: the Wald and the likelihood ratio test. For each of them, if the corresponding p-value is less than a significance threshold which has been set (typically 0.05), then the contribution of the variable to the adjustment of the model is significant.

To assess the effects of interactions (var1*var2, Var1*var3, var2*var3…), you need to add a level-2 interaction in the Options tab.

Regards,

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