@@plakendeKut Thanks for your comment. Please note that every parametric test has specific assumptions associated with it. Some assumptions are common among the Parametric test. So, the assumptions of Binary Logistic Regression may have some common assumptions. But, not all.
Hello! Thanks so much for uploading. What should I do if an assumption isn't followed? Should I completely exclude the variable from the model? Or if there are outliers, but less than 10 in a dataset with more than 20,000 responses, should I also exclude these outliers?
The basic advice will be to exclude the affected variables from the dataset. However, this action may be wise to do if and only if there are sufficient variables (not respondents, factors or cases) in your dataset, otherwise transformation of the affected variables can be a solution if you do not have sufficient variables in your dataset. I think I should develop a tutorial video on what to do if your data violates the parametric assumptions. Thank you.
@@TitocanMarkSolutions Hello! Thank you so much for your advise. Please develop a tutorial video on what to do if the data set violates the assumptions especially for the last 3 assumptions. I'm looking forward to it!
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Thank you! Would these assumptions all be the same as well for a penalized Firth logistic regression?
@@plakendeKut Thanks for your comment. Please note that every parametric test has specific assumptions associated with it. Some assumptions are common among the Parametric test. So, the assumptions of Binary Logistic Regression may have some common assumptions. But, not all.
Hello! Thanks so much for uploading. What should I do if an assumption isn't followed? Should I completely exclude the variable from the model? Or if there are outliers, but less than 10 in a dataset with more than 20,000 responses, should I also exclude these outliers?
The basic advice will be to exclude the affected variables from the dataset. However, this action may be wise to do if and only if there are sufficient variables (not respondents, factors or cases) in your dataset, otherwise transformation of the affected variables can be a solution if you do not have sufficient variables in your dataset.
I think I should develop a tutorial video on what to do if your data violates the parametric assumptions.
Thank you.
@@TitocanMarkSolutions Hello! Thank you so much for your advise. Please develop a tutorial video on what to do if the data set violates the assumptions especially for the last 3 assumptions. I'm looking forward to it!
@@TitocanMarkSolutions Hello, when will you have the new video regarding what to do when the data violates the assumptions?
Hlo sir good afternoon
Can you please tell how to calculate bivariate analysis to select multivariate logistic regression analysis??
In SPSS software