Logistic regression is a powerful statistical method that is used ... In our example, the z statistic derived a small p-value (p < 0.001) indicating strong evidence against the null hypothesis of no ...

The main distinction between different types of regression model is that they are used for different types of outcome (eg, linear regression for a continuous outcomes and a logistic regression ... a ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

Figure 11.16 displays the "Testing Global Null Hypothesis: BETA = 0" table, which lists statistics that test whether the parameters are collectively equal to zero. This is similar to the overall F ...