Understanding p value calculation for coefficients of Logit()

[loveis98]

Could you please help me: I have fitted Logistic Regression model, so I have my data with probabilities and fixed predictors coefficients. How can I use functionality Lodit().summary() for calculation pvalues for my case? May be there is another possibility to calculate pvalues, more appropriate?

Thank you very much

[josef-pkt]

Can you explain a bit more?

my data with probabilities

does this mean your endog is probabilities/fractions instead of binary?

fixed predictors coefficients

Does this mean that you have your own params instead of estimating them with fit?

[loveis98]

Yes and yes:)
I have already fitted logistic regression model, so want to check p_values on another data segment using it's inference