The Wald test is the default z-score and p-value for each parameter estimate in the output table. Not sure if this is what you mean by "Wald score". If this is not what you meant by Wald score, email tech support with more details.
The interpretations are not the same in the sense that binary logistic regression models are often interpreted using odds ratios and ordinal logistic regression models are often interpreted using predicted probabilities. Sometimes binary logistic models are interpreted based on predicted probabilities in which case the interpretations might be considered "similar" See Example 1 in the manual entry for -ologit- for a straightforward example of how to interpret the results of ordinal models.
I need help! I am looking at wages in the US, and I have a lot of independent variables (education, experience etc...) I am going to compare blacks and non-blacks (a dummy variable) and create a linear equation for each of them. What command do i use so that the entire regression shows "how the different independent variables effect wages (dependent variable) given your race" ?
What if instead of the command "logistic low smoke", we use "logistic low i.smoke"? When I run these the coefficient results are the same for both, but when I use "margins, dydx(*)" to get the marginal effects, the results are different. How do we interpret the marginal effect of i.smoke?
hello, when I get my final model and it fits data properly, how can I suspect if my sample was not enough, or how I suspect if there are missing important variables that I overlooked. thank you
You can use continuous independent variables with - exlogistic -, but it requires a lot of memory, and this estimator is better suited for models with discrete independent variables. If you are not interested in coefficients or tests related to a continuous variable, you can specify the continuous variable in the - condvars() - option to save memory. You can email us at tech-support@stata.com for more details.
HEEELP!!! What would be a combination of a rare events model (which I compute in Stata with cloglog) and an instrumental variable model (which I estimate with ivprobit)? I have to estimate a rare events model that has some endogenous regressors and I have the perfect instrument for them, but I just don't know how to do it...
Thank you for the explanation
Thank you very much
thanks chuck
I expect you to upload some material on Hosmer-Lemeshov GOF after logistic regression and ROC analysys
you´re great, thanks again
The Wald test is the default z-score and p-value for each parameter estimate in the output table. Not sure if this is what you mean by "Wald score". If this is not what you meant by Wald score, email tech support with more details.
What if I have an ordinal variable (with 3 levels), is the interpretation similar?
The interpretations are not the same in the sense that binary logistic regression models are often interpreted using odds ratios and ordinal logistic regression models are often interpreted using predicted probabilities. Sometimes binary logistic models are interpreted based on predicted probabilities in which case the interpretations might be considered "similar" See Example 1 in the manual entry for -ologit- for a straightforward example of how to interpret the results of ordinal models.
nice, but whats up with the low quality audio?
Does the exact logistic regression work with a CONTINUOUS predictor variable?
I need help! I am looking at wages in the US, and I have a lot of independent variables (education, experience etc...) I am going to compare blacks and non-blacks (a dummy variable) and create a linear equation for each of them. What command do i use so that the entire regression shows "how the different independent variables effect wages (dependent variable) given your race" ?
What if instead of the command "logistic low smoke", we use "logistic low i.smoke"? When I run these the coefficient results are the same for both, but when I use "margins, dydx(*)" to get the marginal effects, the results are different. How do we interpret the marginal effect of i.smoke?
hello, when I get my final model and it fits data properly, how can I suspect if my sample was not enough, or how I suspect if there are missing important variables that I overlooked. thank you
Does the exact logistic regression work with a CONTINUOUS predictor variable? If so, how would you set up the data structure for the model??
You can use continuous independent
variables with - exlogistic -, but it requires a lot of memory, and this estimator is better suited for models with discrete independent variables. If you are not interested in coefficients or tests related to a continuous variable, you can specify the continuous variable in the - condvars() - option to save memory. You can email us at tech-support@stata.com for more details.
How do you interpret the coefficient??
And how did i get the average marginal effects instead of Odds Ratios?
hi, how about accepted level of Log likelihood?
HEEELP!!! What would be a combination of a rare events model (which I compute in Stata with cloglog) and an instrumental variable model (which I estimate with ivprobit)? I have to estimate a rare events model that has some endogenous regressors and I have the perfect instrument for them, but I just don't know how to do it...
Hello Alvaro. Please contact Technical Services with your question at www.stata.com/support/tech-support/contact. They should be able to assist you.
How to show "wald score" in logistic regression ?
help in Graphs OR with forest plot in Stata
Benny Franklin Burton Jr