You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

This is called an interaction between the explanatory variables. A simple step towards a better model is to at least permit ... (The coefficient of each difference variable represents the difference ...

have presented a number of analyses to assess the effects of various explanatory variables on the survival of patients. This example fits two of the models that they have considered.

we can use the prediction equation (based on a model using the known variables as its explanatory variables) to estimate the value of the dependent variable for that individual. Example: In order to ...

For example, the econometrician might discover that the variance of the data (how much individual values in a series differ from the overall average) is changing over time. The main tool of ...