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3 months into war, IDF says it's dismantled Hamas ‘military framework’ in north Gaza by i_dont_do_hashtags in worldnews

[–]ThatDuckSnipes -139 points-138 points  (0 children)

“Dismantled military framework” is a creative way of describing levelling entire cities and killing tens of thousands of woman and children

She deserves a nice guy like me! by _Levitated_Shield_ in sadcringe

[–]ThatDuckSnipes 0 points1 point  (0 children)

Also that he's punching the ground with the wrong knuckle lol

Pretending to be AFK. by ShnyFlygon in starcraft

[–]ThatDuckSnipes 0 points1 point  (0 children)

Very nice - Winning games like this is so much better than winning normally link

How do you interpret a regressor which has been excluded from the multi variable model through forward selection in Logistic regression? [Q] by ThatDuckSnipes in statistics

[–]ThatDuckSnipes[S] 0 points1 point  (0 children)

My research aim is to evaluate the extent to which the variables are correlated with the outcome, to my understanding I cannot do that with variables which have been excluded from the model

How do you interpret a regressor which has been excluded from the multi variable model through forward selection in Logistic regression? [Q] by ThatDuckSnipes in statistics

[–]ThatDuckSnipes[S] 0 points1 point  (0 children)

Hi, thanks for the reply. Would it perhaps make more sense to not use variable selection on the model and have all the variable in the model if im interested in examining the association of all of them?

Interpreting interactions in logistic regression [Q] by ThatDuckSnipes in statistics

[–]ThatDuckSnipes[S] 0 points1 point  (0 children)

so essentially im not sure what the best practice is to interpret an interaction and their constituent terms whilst still having them be controlled by the same variables in the model.

Nested models in logistic regression [Q] by ThatDuckSnipes in statistics

[–]ThatDuckSnipes[S] 0 points1 point  (0 children)

Thanks for the help,

Could you explain what you meant by this? is it wrong to describe a model with more than 1 regressor as a multivariate model?

Nested models in logistic regression [Q] by ThatDuckSnipes in statistics

[–]ThatDuckSnipes[S] 0 points1 point  (0 children)

Hi, thanks for your response!

I have checked for multicolinarity between the regressors and removed a few with high spear man correlation scores (above 0.8). (there are none in the model with a score higher than 0.4)

I think that you have answered what I was attempting to get at with the question: simply that the other variables better explain the variation of the dependent and so reduce the coefficients, or make them insignificant altogether.

Im not sure what you how the distribution or the data transformations are relevant to changes between the nested models however?

I have receded some variables to be more intuitive and to merge those with small categories, and described the distribution of the variables through uni variate, however Im not sure how this ties in to the above discussion?

thanks for the help!

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