When calculating the predicted probabilities in a logistic regression model, do we consider all the variables or just the significant ones? For eg: Let's say my model has: dependent variable Y and 3 dependent variables Xi out of which coefficients of X1 an X2 are significant whereas X3 is not significant. So for calculating the the predicted probabilities will I use just X1*beta1 + X2*beta2 or include X3*beta3 as well?
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possible duplicate of Is it necessary to exclude all nonsignificant parameters to choose the best model? – Scortchi - Reinstate Monica Nov 19 '14 at 10:12
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Also Should covariates that are not statistically significant be 'kept in' when creating a model? – Scortchi - Reinstate Monica Nov 19 '14 at 10:17
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That question was asked and answered here: http://www.statalist.org/forums/forum/general-stata-discussion/general/450768-calculation-of-predicted-probabilities
Maarten Buis
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