Logistic Regression in STATA - Data - Web

Logistic Regression in STATA. Using Stata 11 & higher for Logistic Regression. Model fit : How often is the model right? Create a classification table. page 6: “To get the equivalent of SPSS’s classification table, you can use the estat clas command ( lstat also works). This command shows you how many cases were classified correctly and incorrectly, using a cutoff point of 50% for the predicted probability.” UCLA: Stata FAQ: How can I perform the likelihood ratio, Wald, and Lagrange multiplier (score) test in Stata? Model significance : Use likelihood ratio test to compare two models (m1 nested in m2): If the test is significant, the bigger model is a better fit. Check assumptions: Correction: This webpage is about linear regression, not logistic regression. But still, the measures described are useful – just choose wisely. There are two things to do for logistic regression: From this webpage: The following table summarizes the general rules of thumb we use for these measures to identify observations worthy of further investigation (where k is the number of predictors and n is the number of observations).